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  <title>P2664R2: Proposal to extend std::simd with permutation API</title>
<style data-fill-with="stylesheet">/******************************************************************************
 *                   Style sheet for the W3C specifications                   *
 *
 * Special classes handled by this style sheet include:
 *
 * Indices
 *   - .toc for the Table of Contents (<ol class="toc">)
 *     + <span class="secno"> for the section numbers
 *   - #toc for the Table of Contents (<nav id="toc">)
 *   - ul.index for Indices (<a href="#ref">term</a><span>, in § N.M</span>)
 *   - table.index for Index Tables (e.g. for properties or elements)
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 *     -> .sidefigure for right-floated figures
 *   - ins/del
 *     -> ins/del.c### for candidate and proposed changes (amendments)
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 * Code
 *   - pre and code
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 * Special Sections
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 *   - .example    for informative examples          (div, p, pre, span)
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 *   - .addition.proposed   for "proposed additions"   (div, aside, details, section)
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 *   - table.def for tables that define other entities (e.g. CSS properties)
 *   - dl.def    for definition lists that define other entitles (e.g. HTML elements)
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 *   - .secno for section numbers in .toc and headings (<span class='secno'>3.2</span>)
 *   - .marker for source-inserted example/figure/issue numbers (<span class='marker'>Issue 4</span>)
 *   - ::before styled for CSS-generated issue/example/figure numbers:
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/* color variables included separately for reliability */

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/******************************************************************************/
/*                         Front Matter & Navigation                          */
/******************************************************************************/

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/******************************************************************************/

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/** Terminology Markup ********************************************************/


/******************************************************************************/
/*                                 Inline Markup                              */
/******************************************************************************/

/** Terminology Markup ********************************************************/
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/** Change Marking ************************************************************/

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/******************************************************************************/
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/******************************************************************************/
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/*                                    Images                                  */
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/******************************************************************************/
/*                             Colored Boxes                                  */
/******************************************************************************/

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/** Example *******************************************************************/

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/** Assertion Box *************************************************************/
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/** Advisement Box ************************************************************/
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		background: #fec;
		background: var(--advisement-bg);
		color: black;
		color: var(--advisement-text);
	}
	strong.advisement {
		display: block;
		text-align: center;
	}
	.advisement::before, .advisement > .marker {
		color: #b35f00;
		color: var(--advisementheading-text);
	}

/** Amendment Box *************************************************************/

	.amendment, .correction, .addition {
		border-color: #330099;
		border-color: var(--amendment-border);
		background: #F5F0FF;
		background: var(--amendment-bg);
		color: black;
		color: var(--amendment-text);
	}
	.amendment.proposed, .correction.proposed, .addition.proposed {
		border-style: solid;
		border-block-width: 0.25em;
	}
	.amendment::before, .amendment > .marker,
	details.amendment > summary::before, details.amendment > summary > .marker,
	.correction::before, .correction > .marker,
	details.correction > summary::before, details.correction > summary > .marker,
	.addition::before, .addition > .marker,
	details.addition > summary::before, details.addition > summary > .marker {
		color: #220066;
		color: var(--amendmentheading-text);
	}
	.amendment.proposed::before, .amendment.proposed > .marker,
	details.amendment.proposed > summary::before, details.amendment.proposed > summary > .marker,
	.correction.proposed::before, .correction.proposed > .marker,
	details.correction.proposed > summary::before, details.correction.proposed > summary > .marker,
	.addition.proposed::before, .addition.proposed > .marker,
	details.addition.proposed > summary::before, details.addition.proposed > summary > .marker {
		font-weight: bold;
	}

/** Spec Obsoletion Notice ****************************************************/
	/* obnoxious obsoletion notice for older/abandoned specs. */

	details {
		display: block;
	}
	summary {
		font-weight: bolder;
	}

	.annoying-warning:not(details),
	details.annoying-warning:not([open]) > summary,
	details.annoying-warning[open] {
		background: hsla(40,100%,50%,0.95);
		background: var(--warning-bg);
		color: black;
		color: var(--warning-text);
		padding: .75em 1em;
		border: red;
		border: var(--warning-border);
		border-style: solid none;
		box-shadow: 0 2px 8px black;
		text-align: center;
	}
	.annoying-warning :last-child {
		margin-bottom: 0;
	}

@media not print {
	details.annoying-warning[open] {
		position: fixed;
		left: 0;
		right: 0;
		bottom: 2em;
		z-index: 1000;
	}
}

	details.annoying-warning:not([open]) > summary {
		text-align: center;
	}

/** Entity Definition Boxes ***************************************************/

	.def {
		padding: .5em 1em;
		background: #def;
		background: var(--def-bg);
		margin: 1.2em 0;
		border-left: 0.5em solid #8ccbf2;
		border-left: 0.5em solid var(--def-border);
		color: black;
		color: var(--def-text);
	}

/******************************************************************************/
/*                                    Tables                                  */
/******************************************************************************/

	th, td {
		text-align: left;
		text-align: start;
	}

/** Property/Descriptor Definition Tables *************************************/

	table.def {
		/* inherits .def box styling, see above */
		width: 100%;
		border-spacing: 0;
	}

	table.def td,
	table.def th {
		padding: 0.5em;
		vertical-align: baseline;
		border-bottom: 1px solid #bbd7e9;
		border-bottom: 1px solid var(--defrow-border);
	}

	table.def > tbody > tr:last-child th,
	table.def > tbody > tr:last-child td {
		border-bottom: 0;
	}

	table.def th {
		font-style: italic;
		font-weight: normal;
		padding-left: 1em;
		width: 3em;
	}

	/* For when values are extra-complex and need formatting for readability */
	table td.pre {
		white-space: pre-wrap;
	}

	/* A footnote at the bottom of a def table */
	table.def td.footnote {
		padding-top: 0.6em;
	}
	table.def td.footnote::before {
		content: " ";
		display: block;
		height: 0.6em;
		width: 4em;
		border-top: thin solid;
	}

/** Data tables (and properly marked-up index tables) *************************/
	/*
		<table class="data"> highlights structural relationships in a table
		when correct markup is used (e.g. thead/tbody, th vs. td, scope attribute)

		Use class="complex data" for particularly complicated tables --
		(This will draw more lines: busier, but clearer.)

		Use class="long" on table cells with paragraph-like contents
		(This will adjust text alignment accordingly.)
		Alternately use class="longlastcol" on tables, to have the last column assume "long".
	*/

	table {
		word-wrap: normal;
		overflow-wrap: normal;
		hyphens: manual;
	}

	table.data,
	table.index {
		margin: 1em auto;
		border-collapse: collapse;
		border: hidden;
		width: 100%;
	}
	table.data caption,
	table.index caption {
		max-width: 50em;
		margin: 0 auto 1em;
	}

	table.data td,  table.data th,
	table.index td, table.index th {
		padding: 0.5em 1em;
		border-width: 1px;
		border-color: silver;
		border-color: var(--datacell-border);
		border-top-style: solid;
	}

	table.data thead td:empty {
		padding: 0;
		border: 0;
	}

	table.data  thead,
	table.index thead,
	table.data  tbody,
	table.index tbody {
		border-bottom: 2px solid;
	}

	table.data colgroup,
	table.index colgroup {
		border-left: 2px solid;
	}

	table.data  tbody th:first-child,
	table.index tbody th:first-child  {
		border-right: 2px solid;
		border-top: 1px solid silver;
		border-top: 1px solid var(--datacell-border);
		padding-right: 1em;
	}

	table.data th[colspan],
	table.data td[colspan] {
		text-align: center;
	}

	table.complex.data th,
	table.complex.data td {
		border: 1px solid silver;
		border: 1px solid var(--datacell-border);
		text-align: center;
	}

	table.data.longlastcol td:last-child,
	table.data td.long {
		vertical-align: baseline;
		text-align: left;
	}

	table.data img {
		vertical-align: middle;
	}


/*
Alternate table alignment rules

	table.data,
	table.index {
		text-align: center;
	}

	table.data  thead th[scope="row"],
	table.index thead th[scope="row"] {
		text-align: right;
	}

	table.data  tbody th:first-child,
	table.index tbody th:first-child  {
		text-align: right;
	}

Possible extra rowspan handling

	table.data  tbody th[rowspan]:not([rowspan='1']),
	table.index tbody th[rowspan]:not([rowspan='1']),
	table.data  tbody td[rowspan]:not([rowspan='1']),
	table.index tbody td[rowspan]:not([rowspan='1']) {
		border-left: 1px solid silver;
	}

	table.data  tbody th[rowspan]:first-child,
	table.index tbody th[rowspan]:first-child,
	table.data  tbody td[rowspan]:first-child,
	table.index tbody td[rowspan]:first-child{
		border-left: 0;
		border-right: 1px solid silver;
	}
*/

/******************************************************************************/
/*                                  Indices                                   */
/******************************************************************************/


/** Table of Contents *********************************************************/

	.toc a {
		/* More spacing; use padding to make it part of the click target. */
		padding: 0.1rem 1px 0;
		/* Larger, more consistently-sized click target */
		display: block;
		/* Switch to using border-bottom for underlines */
		text-decoration: none;
		border-bottom: 1px solid;
		/* Reverse color scheme */
		color: black;
		color: var(--toclink-text);
		border-color: #3980b5;
		border-color: var(--toclink-underline);
	}
	.toc a:visited {
		color: black;
		color: var(--toclink-visited-text);
		border-color: #054572;
		border-color: var(--toclink-visited-underline);
	}
	.toc a:focus,
	.toc a:hover {
		background: rgba(75%, 75%, 75%, .25);
		background: var(--a-hover-bg);
		border-bottom-width: 3px;
		margin-bottom: -2px;
	}
	.toc a:not(:focus):not(:hover) {
		/* Allow colors to cascade through from link styling */
		border-bottom-color: transparent;
	}

	.toc, .toc ol, .toc ul, .toc li {
		list-style: none; /* Numbers must be inlined into source */
		/* because generated content isn't search/selectable and markers can't do multilevel yet */
		margin:  0;
		padding: 0;
	}
	.toc {
		line-height: 1.1em;
	}

	/* ToC not indented until third level, but font style & margins show hierarchy */
	.toc > li			{ font-weight: bold;   }
	.toc > li li		 { font-weight: normal; }
	.toc > li li li	  { font-size:   95%;	}
	.toc > li li li li	{ font-size:   90%;	}
	.toc > li li li li li { font-size:   85%;	}

	/* @supports not (display:grid) { */
		.toc > li			{ margin: 1.5rem 0;	}
		.toc > li li		 { margin: 0.3rem 0;	}
		.toc > li li li	  { margin-left: 2rem;   }

		/* Section numbers in a column of their own */
		.toc .secno {
			float: left;
			width: 4rem;
			white-space: nowrap;
		}
		.toc > li li li li .secno { font-size: 85%; }
		.toc > li li li li li .secno { font-size: 100%; }

		.toc li {
			clear: both;
		}

		:not(li) > .toc			 { margin-left:  5rem; }
		.toc .secno				 { margin-left: -5rem; }
		.toc > li li li .secno	  { margin-left: -7rem; }
		.toc > li li li li .secno	{ margin-left: -9rem; }
		.toc > li li li li li .secno { margin-left: -11rem; }

		/* Tighten up indentation in narrow ToCs */
		@media (max-width: 30em) {
			:not(li) > .toc			 { margin-left:  4rem; }
			.toc .secno				 { margin-left: -4rem; }
			.toc > li li li			 { margin-left:  1rem; }
			.toc > li li li .secno	  { margin-left: -5rem; }
			.toc > li li li li .secno	{ margin-left: -6rem; }
			.toc > li li li li li .secno { margin-left: -7rem; }
		}
		/* Loosen it on wide screens */
		@media screen and (min-width: 78em) {
			body:not(.toc-inline) :not(li) > .toc			 { margin-left:  4rem; }
			body:not(.toc-inline) .toc .secno				 { margin-left: -4rem; }
			body:not(.toc-inline) .toc > li li li			 { margin-left:  1rem; }
			body:not(.toc-inline) .toc > li li li .secno	  { margin-left: -5rem; }
			body:not(.toc-inline) .toc > li li li li .secno	{ margin-left: -6rem; }
			body:not(.toc-inline) .toc > li li li li li .secno { margin-left: -7rem; }
	}
	/* } */

	@supports (display:grid) and (display:contents) {
		/* Use #toc over .toc to override non-@supports rules. */
		#toc {
			display: grid;
			align-content: start;
			grid-template-columns: auto 1fr;
			grid-column-gap: 1rem;
			column-gap: 1rem;
			grid-row-gap: .6rem;
			row-gap: .6rem;
		}
		#toc h2 {
			grid-column: 1 / -1;
			margin-bottom: 0;
		}
		#toc ol,
		#toc li,
		#toc a {
			display: contents;
			/* Switch <a> to subgrid when supported */
		}
		#toc span {
			margin: 0;
		}
		#toc > .toc > li > a > span {
			/* The spans of the top-level list,
			  comprising the first items of each top-level section. */
			margin-top: 1.1rem;
		}
		#toc#toc .secno { /* Ugh, need more specificity to override base.css */
			grid-column: 1;
			width: auto;
			margin-left: 0;
		}
		#toc .content {
			grid-column: 2;
			width: auto;
			margin-right: 1rem;
		}
		#toc .content:hover,
		#toc .content:focus {
			background: rgba(75%, 75%, 75%, .25);
			background: var(--a-hover-bg);
			border-bottom: 3px solid #054572;
			border-bottom: 3px solid var(--toclink-underline);
			margin-bottom: -3px;
		}
		#toc li li li .content {
			margin-left: 1rem;
		}
		#toc li li li li .content {
			margin-left: 2rem;
		}
	}


/** Index *********************************************************************/

	/* Index Lists: Layout */
	ul.index	  { margin-left: 0; columns: 15em; text-indent: 1em hanging; }
	ul.index li	{ margin-left: 0; list-style: none; break-inside: avoid; }
	ul.index li li { margin-left: 1em; }
	ul.index dl	{ margin-top: 0; }
	ul.index dt	{ margin: .2em 0 .2em 20px;}
	ul.index dd	{ margin: .2em 0 .2em 40px;}
	/* Index Lists: Typography */
	ul.index ul,
	ul.index dl { font-size: smaller; }
	@media not print {
		ul.index li a + span {
			white-space: nowrap;
			color: transparent; }
		ul.index li a:hover + span,
		ul.index li a:focus + span {
			color: #707070;
			color: var(--indexinfo-text);
		}
	}

/** Index Tables *****************************************************/
	/* See also the data table styling section, which this effectively subclasses */

	table.index {
		font-size: small;
		border-collapse: collapse;
		border-spacing: 0;
		text-align: left;
		margin: 1em 0;
	}

	table.index td,
	table.index th {
		padding: 0.4em;
	}

	table.index tr:hover td:not([rowspan]),
	table.index tr:hover th:not([rowspan]) {
		color: black;
		color: var(--indextable-hover-text);
		background: #f7f8f9;
		background: var(--indextable-hover-bg);
	}

	/* The link in the first column in the property table (formerly a TD) */
	table.index th:first-child a {
		font-weight: bold;
	}

/** Outdated warning **********************************************************/

.outdated-spec {
	color: black;
	color: var(--outdatedspec-text);
	background-color: rgba(0,0,0,0.5);
	background-color: var(--outdatedspec-bg);
}

.outdated-warning {
	position: fixed;
	bottom: 50%;
	left: 0;
	right: 0;
	margin: 0 auto;
	width: 50%;
	background: maroon;
	background: var(--outdated-bg);
	color: white;
	color: var(--outdated-text);
	border-radius: 1em;
	box-shadow: 0 0 1em red;
	box-shadow: 0 0 1em var(--outdated-shadow);
	padding: 2em;
	text-align: center;
	z-index: 2;
}

.outdated-warning a {
	color: currentcolor;
	background: transparent;
}

.edited-rec-warning {
	background: darkorange;
	background: var(--editedrec-bg);
	box-shadow: 0 0 1em;
}

.outdated-warning button {
	color: var(--outdated-text);
	border-radius: 1em;
	box-shadow: 0 0 1em red;
	box-shadow: 0 0 1em var(--outdated-shadow);
	padding: 2em;
	text-align: center;
	z-index: 2;
}

.outdated-warning a {
	color: currentcolor;
	background: transparent;
}

.edited-rec-warning {
	background: darkorange;
	background: var(--editedrec-bg);
	box-shadow: 0 0 1em;
}

.outdated-warning button {
	position: absolute;
	top: 0;
	right:0;
	margin: 0;
	border: 0;
	padding: 0.25em 0.5em;
	background: transparent;
	color: white;
	color: var(--outdated-text);
	font:1em sans-serif;
	text-align:center;
}

.outdated-warning span {
	display: block;
}

.outdated-collapsed {
	bottom: 0;
	border-radius: 0;
	width: 100%;
	padding: 0;
}

/******************************************************************************/
/*                                    Print                                   */
/******************************************************************************/

	@media print {
		/* Pages have their own margins. */
		html {
			margin: 0;
		}
		/* Serif for print. */
		body {
			font-family: serif;
		}

		.outdated-warning {
			position: absolute;
			border-style: solid;
			border-color: red;
		}

		.outdated-warning input {
			display: none;
		}
	}
	@page {
		margin: 1.5cm 1.1cm;
	}



/******************************************************************************/
/*                             Overflow Control                               */
/******************************************************************************/

	.figure .caption, .sidefigure .caption, figcaption {
		/* in case figure is overlarge, limit caption to 50em */
		max-width: 50rem;
		margin-left: auto;
		margin-right: auto;
	}
	.overlarge {
		/* Magic to create good item positioning:
		  "content column" is 50ems wide at max; less on smaller screens.
		  Extra space (after ToC + content) is empty on the right.

		  1. When item < content column, centers item in column.
		  2. When content < item < available, left-aligns.
		  3. When item > available, fills available + scroll bar.
		*/
		display: grid;
		grid-template-columns: minmax(0, 50em);
	}
	.overlarge > table {
		/* limit preferred width of table */
		max-width: 50em;
		margin-left: auto;
		margin-right: auto;
	}

	@media (min-width: 55em) {
		.overlarge {
			margin-right: calc(13px + 26.5rem - 50vw);
			max-width: none;
		}
	}
	@media screen and (min-width: 78em) {
		body:not(.toc-inline) .overlarge {
			/* 30.5em body padding 50em content area */
			margin-right: calc(40em - 50vw) !important;
		}
	}
	@media screen and (min-width: 90em) {
		body:not(.toc-inline) .overlarge {
			/* 4em html margin 30.5em body padding 50em content area */
			margin-right: calc(84.5em - 100vw) !important;
		}
	}

	@media not print {
		.overlarge {
			overflow-x: auto;
			/* See Lea Verou's explanation background-attachment:
			* http://lea.verou.me/2012/04/background-attachment-local/
			*
			background: top left  / 4em 100% linear-gradient(to right,  #ffffff, rgba(255, 255, 255, 0)) local,
						top right / 4em 100% linear-gradient(to left, #ffffff, rgba(255, 255, 255, 0)) local,
						top left  / 1em 100% linear-gradient(to right,  #c3c3c5, rgba(195, 195, 197, 0)) scroll,
						top right / 1em 100% linear-gradient(to left, #c3c3c5, rgba(195, 195, 197, 0)) scroll,
						white;
			background-repeat: no-repeat;
			*/
		}
	}
</style>
<style>
    table, th, td {
      border: 1px solid black;
      border-collapse: collapse;
      vertical-align: top;
    }
    th, td {
      border-left: none;
      border-right: none;
      padding: 0px 10px;
    }
    th {
      text-align: center;
    }

    del { background: #fcc; color: #000; text-decoration: line-through; }
    ins { background: #cfc; color: #000; }
    blockquote .highlight:not(.idl) { background: initial; margin: initial; padding: 0.5em }
    blockquote ul { background: inherit; }
    blockquote code.highlight:not(.idl) { padding: initial; }
    blockquote c-[a] { color: inherit; } /* Keyword.Declaration */
    blockquote c-[b] { color: inherit; } /* Keyword.Type */
    blockquote c-[c] { color: inherit; } /* Comment */
    blockquote c-[d] { color: inherit; } /* Comment.Multiline */
    blockquote c-[e] { color: inherit; } /* Name.Attribute */
    blockquote c-[f] { color: inherit; } /* Name.Tag */
    blockquote c-[g] { color: inherit; } /* Name.Variable */
    blockquote c-[k] { color: inherit; } /* Keyword */
    blockquote c-[l] { color: inherit; } /* Literal */
    blockquote c-[m] { color: inherit; } /* Literal.Number */
    blockquote c-[n] { color: inherit; } /* Name */
    blockquote c-[o] { color: inherit; } /* Operator */
    blockquote c-[p] { color: inherit; } /* Punctuation */
    blockquote c-[s] { color: inherit; } /* Literal.String */
    blockquote c-[t] { color: inherit; } /* Literal.String.Single */
    blockquote c-[u] { color: inherit; } /* Literal.String.Double */
    blockquote c-[cp] { color: inherit; } /* Comment.Preproc */
    blockquote c-[c1] { color: inherit; } /* Comment.Single */
    blockquote c-[cs] { color: inherit; } /* Comment.Special */
    blockquote c-[kc] { color: inherit; } /* Keyword.Constant */
    blockquote c-[kn] { color: inherit; } /* Keyword.Namespace */
    blockquote c-[kp] { color: inherit; } /* Keyword.Pseudo */
    blockquote c-[kr] { color: inherit; } /* Keyword.Reserved */
    blockquote c-[ld] { color: inherit; } /* Literal.Date */
    blockquote c-[nc] { color: inherit; } /* Name.Class */
    blockquote c-[no] { color: inherit; } /* Name.Constant */
    blockquote c-[nd] { color: inherit; } /* Name.Decorator */
    blockquote c-[ni] { color: inherit; } /* Name.Entity */
    blockquote c-[ne] { color: inherit; } /* Name.Exception */
    blockquote c-[nf] { color: inherit; } /* Name.Function */
    blockquote c-[nl] { color: inherit; } /* Name.Label */
    blockquote c-[nn] { color: inherit; } /* Name.Namespace */
    blockquote c-[py] { color: inherit; } /* Name.Property */
    blockquote c-[ow] { color: inherit; } /* Operator.Word */
    blockquote c-[mb] { color: inherit; } /* Literal.Number.Bin */
    blockquote c-[mf] { color: inherit; } /* Literal.Number.Float */
    blockquote c-[mh] { color: inherit; } /* Literal.Number.Hex */
    blockquote c-[mi] { color: inherit; } /* Literal.Number.Integer */
    blockquote c-[mo] { color: inherit; } /* Literal.Number.Oct */
    blockquote c-[sb] { color: inherit; } /* Literal.String.Backtick */
    blockquote c-[sc] { color: inherit; } /* Literal.String.Char */
    blockquote c-[sd] { color: inherit; } /* Literal.String.Doc */
    blockquote c-[se] { color: inherit; } /* Literal.String.Escape */
    blockquote c-[sh] { color: inherit; } /* Literal.String.Heredoc */
    blockquote c-[si] { color: inherit; } /* Literal.String.Interpol */
    blockquote c-[sx] { color: inherit; } /* Literal.String.Other */
    blockquote c-[sr] { color: inherit; } /* Literal.String.Regex */
    blockquote c-[ss] { color: inherit; } /* Literal.String.Symbol */
    blockquote c-[vc] { color: inherit; } /* Name.Variable.Class */
    blockquote c-[vg] { color: inherit; } /* Name.Variable.Global */
    blockquote c-[vi] { color: inherit; } /* Name.Variable.Instance */
    blockquote c-[il] { color: inherit; } /* Literal.Number.Integer.Long */
  </style>
  <meta content="Bikeshed version 74068a90b, updated Wed Mar 22 17:34:51 2023 -0700" name="generator">
  <link href="http://wg21.link/P2664R2.pdf" rel="canonical">
  <link href="https://isocpp.org/favicon.ico" rel="icon">
  <meta content="57c0109e778e527a004d7f99dac26f454736df8d" name="document-revision">
<style>/* style-autolinks */
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 <body class="h-entry">
  <div class="head">
   <p data-fill-with="logo"></p>
   <h1 class="p-name no-ref" id="title">P2664R2<br>Proposal to extend std::simd with permutation API</h1>
   <h2 class="no-num no-toc no-ref heading settled" id="profile-and-date"><span class="content">Published Proposal, <time class="dt-updated" datetime="2023-04-28">2023-04-28</time></span></h2>
   <div data-fill-with="spec-metadata">
    <dl>
     <dt>This version:
     <dd><a class="u-url" href="http://wg21.link/P2664R2.pdf">http://wg21.link/P2664R2.pdf</a>
     <dt class="editor">Authors:
     <dd class="editor p-author h-card vcard"><a class="p-name fn u-email email" href="mailto:daniel.towner@intel.com">Daniel Towner</a> (<span class="p-org org">Intel</span>)
     <dd class="editor p-author h-card vcard"><a class="p-name fn u-email email" href="mailto:ruslan.arutyunyan@intel.com">Ruslan Arutyunyan</a> (<span class="p-org org">Intel</span>)
     <dt>Audience:
     <dd>LEWG
     <dt>Project:
     <dd>ISO/IEC JTC1/SC22/WG21 14882: Programming Language — C++
    </dl>
   </div>
   <div data-fill-with="warning"></div>
   <hr title="Separator for header">
  </div>
  <div class="p-summary" data-fill-with="abstract">
   <h2 class="no-num no-toc no-ref heading settled" id="abstract"><span class="content">Abstract</span></h2>
   <p>Proposal to extend <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> with features enabling permutation of data within
  and across SIMD values.</p>
  </div>
  <nav data-fill-with="table-of-contents" id="toc">
   <h2 class="no-num no-toc no-ref" id="contents">Table of Contents</h2>
   <ol class="toc" role="directory">
    <li><a href="#intro"><span class="secno">1</span> <span class="content">Motivation</span></a>
    <li><a href="#background"><span class="secno">2</span> <span class="content">Background</span></a>
    <li>
     <a href="#supported_permutations"><span class="secno">3</span> <span class="content">Extending <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> to support permutations</span></a>
     <ol class="toc">
      <li>
       <a href="#computed_indexes"><span class="secno">3.1</span> <span class="content">Using compile-time computed indexes</span></a>
       <ol class="toc">
        <li><a href="#generator_extended_indexes"><span class="secno">3.1.1</span> <span class="content">Design option - extended indexes</span></a>
        <li><a href="#generator_size_param"><span class="secno">3.1.2</span> <span class="content">Design option - pass in size</span></a>
        <li><a href="#generator_implementation_experience"><span class="secno">3.1.3</span> <span class="content">Implementation Experience</span></a>
       </ol>
      <li>
       <a href="#dynamic_indexing"><span class="secno">3.2</span> <span class="content">Using another SIMD as the dynamic index</span></a>
       <ol class="toc">
        <li><a href="#multi_index"><span class="secno">3.2.1</span> <span class="content">Design option - C++23 multi-index subscript</span></a>
        <li><a href="#dynamic_implementation_experience"><span class="secno">3.2.2</span> <span class="content">Implementation experience</span></a>
       </ol>
      <li>
       <a href="#permute_by_mask"><span class="secno">3.3</span> <span class="content">Permutation using simd masks (compress/expand)</span></a>
       <ol class="toc">
        <li><a href="#permute_lvalue_reference"><span class="secno">3.3.1</span> <span class="content">Design option - lvalue reference</span></a>
        <li><a href="#compress_uninitialized"><span class="secno">3.3.2</span> <span class="content">Design option - unused value element initialisation</span></a>
        <li><a href="#permute_as_compress"><span class="secno">3.3.3</span> <span class="content">Design option - use permute as a name instead of compress</span></a>
        <li><a href="#permute_by_mask_implementation"><span class="secno">3.3.4</span> <span class="content">Implementation Experience</span></a>
       </ol>
      <li><a href="#memory_permutes"><span class="secno">3.4</span> <span class="content">Memory-based permutes</span></a>
     </ol>
    <li><a href="#named_permute_functions"><span class="secno">4</span> <span class="content">Named functions</span></a>
    <li><a href="#wording"><span class="secno">5</span> <span class="content">Wording</span></a>
    <li><a href="#summary"><span class="secno">6</span> <span class="content">Summary</span></a>
    <li>
     <a href="#references"><span class="secno"></span> <span class="content">References</span></a>
     <ol class="toc">
      <li><a href="#informative"><span class="secno"></span> <span class="content">Informative References</span></a>
     </ol>
   </ol>
  </nav>
  <main>
   <h2 class="heading settled" data-level="1" id="intro"><span class="secno">1. </span><span class="content">Motivation</span><a class="self-link" href="#intro"></a></h2>
   <p>ISO/IEC 19570:2018 introduced data-parallel types to the C++ Extensions
for Parallelism TS. <a data-link-type="biblio" href="#biblio-p1915r0" title="Expected Feedback from simd in the Parallelism TS 2">[P1915R0]</a> asked for feedback on <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> in Parallelism TS 2. <a data-link-type="biblio" href="#biblio-p1928r3" title="Merge data-parallel types from the Parallelism TS 2">[P1928R3]</a> aims to make that a part of C++ IS. Intel supports the concept of a
standard interface to SIMD instruction capabilities and has made further
suggestions for other APIs and facilities for <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> in document <a data-link-type="biblio" href="#biblio-p2638r0" title="Intel&apos;s response to P1915R0 for std::simd parallelism in TS 2">[P2638R0]</a>.</p>
   <p>One of the extra features we suggested was the ability to be able to permute
elements across or within SIMD values. These operations are critical for
supporting formatting of data in preparation for other operations (e.g.,
transpose, strided operations, interleaving, and many more), but are relatively
poorly supported in the current <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> proposal. Many modern SIMD processors
include sophisticated support for permutation instructions so in this document we
shall propose a set of API functions which make those underlying instructions
accessible in a generic way.</p>
   <p>In this document we shall start with some background into the current <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> proposal and extensions, describe the state of the art on other simd libraries,
and then describe a proposal for some new API functions to add to <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code>.</p>
   <h2 class="heading settled" data-level="2" id="background"><span class="secno">2. </span><span class="content">Background</span><a class="self-link" href="#background"></a></h2>
   <p>In ISO/IEC 19570:2018 there were only a few functions which could be used to
achieve any sort of element permutation across or within <code class="highlight"><c- n>simd</c-><c- o>&lt;></c-></code> values.
Those functions were relatively modest in scope and they built upon the ability
to split and concatenate simd values at compile-time. For example, a simd value
containing 5 elements could be split into two smaller pieces of sizes 2 and 3
respectively:</p>
<pre class="language-cpp highlight"><c- n>fixed_size_simd</c-><c- o>&lt;</c-><c- b>float</c-><c- p>,</c-> <c- mi>5</c-><c- o>></c-> <c- n>x</c-><c- p>;</c->
…
<c- k>const</c-> <c- k>auto</c-> <c- p>[</c-><c- n>piece0</c-><c- p>,</c-> <c- n>piece1</c-><c- p>]</c-> <c- o>=</c-> <c- n>split</c-><c- o>&lt;</c-><c- mi>2</c-><c- p>,</c-> <c- mi>3</c-><c- o>></c-><c- p>(</c-><c- n>x</c-><c- p>);</c-></pre>
   <p>Those smaller pieces could be acted on using any of the <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> features, and
then later recombined using <code class="highlight"><c- n>concat</c-></code>, possibly in a different order or with
duplication:</p>
   <p><code class="highlight"><c- k>const</c-> <c- k>auto</c-> <c- n>output</c-> <c- o>=</c-> <c- n>concat</c-><c- p>(</c-><c- n>piece1</c-><c- p>,</c-> <c- n>piece1</c-><c- p>,</c-> <c- n>piece0</c-><c- p>);</c-></code></p>
   <p>The <code class="highlight"><c- n>split</c-></code> and <code class="highlight"><c- n>concat</c-></code> functions can be used to achieve several permutation
effects, but they are unwieldy for anything complicated, and since they
are also compile-time they preclude any dynamic runtime permutation.</p>
   <p>In <a data-link-type="biblio" href="#biblio-p2638r0" title="Intel&apos;s response to P1915R0 for std::simd parallelism in TS 2">[P2638R0]</a> Intel suggested extra operations to insert and extract SIMD
values to and from other SIMD containers:</p>
<pre class="language-cpp highlight"><c- k>const</c-> <c- k>auto</c-> <c- n>t</c-> <c- o>=</c-> <c- n>extract</c-><c- o>&lt;</c-><c- mi>2</c-><c- p>,</c-> <c- mi>5</c-><c- o>></c-><c- p>(</c-><c- n>v</c-><c- p>);</c-> <c- c1>// Read out 3 SIMD values, starting from position 2</c->
<c- n>insert</c-><c- o>&lt;</c-><c- mi>5</c-><c- o>></c-><c- p>(</c-><c- n>v</c-><c- p>,</c-> <c- n>t</c-><c- p>);</c-> <c- c1>// Put the 3 previously read values back into the container at position 5 </c-></pre>
   <p>These are convenient, but they still don’t allow arbitrary or expressive permute
operations.</p>
   <p>Two suggestions were made in <a data-link-type="biblio" href="#biblio-p0918r1" title="More simd<> Operations">[P0918R1]</a>: add an arbitrary compile-time shuffle
function, and add a specific type of permutation called an interleave. The
compile-time shuffle can be used as follows:</p>
<pre class="highlight"><c- k>const</c-> <c- k>auto</c-> <c- n>p</c-> <c- o>=</c-> <c- n>shuffle</c-><c- o>&lt;</c-><c- mi>3</c-><c- p>,</c-> <c- mi>4</c-><c- p>,</c-> <c- mi>1</c-><c- p>,</c-> <c- mi>1</c-><c- p>,</c-> <c- mi>2</c-><c- p>,</c-> <c- mi>3</c-><c- o>></c-><c- p>(</c-><c- n>x</c-><c- p>);</c->
<c- c1>// p::value_type will be the same as x::value_type</c->
<c- c1>// p::size will be 6</c-></pre>
   <p>The indexes can be arbitrary, and therefore allow any duplication and reordering
of elements. The output <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> object will have the same number of elements as there are
supplied indexes, and the type of the SIMD output will be that of the input.
It is noted also in the shuffle API that this function can be applied
to <code class="highlight"><c- n>simd_mask</c-></code> values too, and that shuffling across multiple SIMD values can be
achieved by first concatenating the values into a single larger SIMD:</p>
   <p><code class="highlight"><c- k>const</c-> <c- k>auto</c-> <c- n>p</c-> <c- o>=</c-> <c- n>shuffle</c-><c- o>&lt;</c-><c- mi>10</c-><c- p>,</c-> <c- mi>9</c-><c- p>,</c-> <c- mi>0</c-><c- p>,</c-> <c- mi>1</c-><c- o>></c-><c- p>(</c-><c- n>concat</c-><c- p>(</c-><c- n>x</c-><c- p>,</c-> <c- n>y</c-><c- p>));</c-></code></p>
   <p>In addition to the shuffle function, <a data-link-type="biblio" href="#biblio-p0918r1" title="More simd<> Operations">[P0918R1]</a> also proposes a function called
interleave which accepts two SIMD values and interleaves respective elements
into a new SIMD value which is twice the size. For example, given inputs <code class="highlight"><c- p>[</c-><c- n>a0</c-> <c- n>a1</c-> <c- n>a2</c-><c- p>]</c-></code> and <code class="highlight"><c- p>[</c-><c- n>b0</c-> <c- n>b1</c-> <c- n>b2</c-><c- p>]</c-></code>, the output would be <code class="highlight"><c- p>[</c-><c- n>a0</c-> <c- n>b0</c-> <c- n>a1</c-> <c- n>b1</c-> <c- n>a2</c-> <c- n>b2</c-><c- p>]</c-></code>.
Interleaving is a common operation and is often directly supported by processors
with explicit instructions (e.g., Intel’s <code class="highlight"><c- n>punpcklwd</c-></code>), so as in <a data-link-type="biblio" href="#biblio-p0918r1" title="More simd<> Operations">[P0918R1]</a> and
also in other simd libraries there will be named functions which expose that
instruction. There will be other common permutation operations which also have
specialist hardware support and it is common for them to be exposed in named
functions also. For example, <a data-link-type="biblio" href="#biblio-highway" title="Google Highway">[Highway]</a> provides <code class="highlight"><c- n>DupOdd</c-></code>, <code class="highlight"><c- n>DupEven</c-></code>, <code class="highlight"><c- n>ReverseBlocks</c-></code>, <code class="highlight"><c- n>Shuffle0231</c-></code>, and so on, which map efficiently to
underlying instructions. While this can ensure that good code is generated for
specific function, it does mean that:</p>
   <ul>
    <li data-md>
     <p>the set of named functions can only include those features available on all potential targets</p>
    <li data-md>
     <p>portability is reduce by exposing functions only on those targets which support them.</p>
   </ul>
   <p>Neither of these is desirable, and in our suggestions below we provide an alternative.</p>
   <h2 class="heading settled" data-level="3" id="supported_permutations"><span class="secno">3. </span><span class="content">Extending <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> to support permutations</span><a class="self-link" href="#supported_permutations"></a></h2>
   <p>There are three classes of permutation which could be supported by <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code>;</p>
   <ul>
    <li data-md>
     <p>using compile-time computed indexes</p>
    <li data-md>
     <p>using another SIMD as a dynamic index</p>
    <li data-md>
     <p>using a bit-mask for selecting active elements</p>
   </ul>
   <p>Modern processor instruction sets typically  support all 3 of these classes of
instruction. In the following sections we shall examine in more detail each of
these classes and the potential APIs needed to expose those features to the user.
We shall also examine what it means to permute memory, and whether named
functions should be provided for common permutation patterns.</p>
   <p><code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> could be modified to allow permutations either by adding to the
base definition of <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> itself (specifically, to include a new <code class="highlight"><c- n>simd</c-><c- o>::</c-><c- k>operator</c-><c- p>[]</c-></code> or <code class="highlight"><c- n>simd_mask</c-><c- o>::</c-><c- k>operator</c-><c- p>[]</c-></code>), or by introducing a new
overloaded free-functions which extend <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code>. We shall consider both
options below.</p>
   <p>Note that a <code class="highlight"><c- n>simd_mask</c-></code> is a special case of a type of SIMD and can therefore be
permuted in the same way as a conventional SIMD. In our discussions below we
assume that the permutations would apply equally to a <code class="highlight"><c- n>simd_mask</c-></code> unless we note
otherwise.</p>
   <h3 class="heading settled" data-level="3.1" id="computed_indexes"><span class="secno">3.1. </span><span class="content">Using compile-time computed indexes</span><a class="self-link" href="#computed_indexes"></a></h3>
   <p>The first proposal is to provide a <code class="highlight"><c- n>permute</c-></code> function which accepts a
compile-time function which is used to generate the indexes to use in the
permutation. This is a very powerful concept: firstly, it allows the task of
computing the indexes to be offloaded to the compiler using an index-generating
function, and secondly it works on <code class="highlight"><c- n>simd</c-><c- o>&lt;></c-></code> values of arbitrary size. It’s definition would be:</p>
<pre class="language-cpp highlight"><c- k>template</c-><c- o>&lt;</c-><c- n>std</c-><c- o>::</c-><c- b>size_t</c-> <c- n>OutputSize</c-> <c- o>=</c-> <c- mi>0</c-><c- p>,</c-> <c- k>typename</c-> <c- nc>T</c-><c- p>,</c-> <c- k>typename</c-> <c- nc>Abi</c-><c- o>></c->
<c- k>constexpr</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>simd_abi</c-><c- o>::</c-><c- n>deduce_t</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>new_simd_size</c-><c- p>,</c-> <c- n>Abi</c-><c- o>>></c->
<c- n>permute</c-><c- p>(</c-><c- k>const</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>>&amp;</c-> <c- n>v</c-><c- p>,</c-> <c- n>std</c-><c- o>::</c-><c- n>invocable</c-><c- o>&lt;</c-><c- n>std</c-><c- o>::</c-><c- n>integral</c-><c- o>></c-> <c- k>auto</c-> <c- n>fn</c-><c- p>)</c-></pre>
   <p>It can be used as in the following example:</p>
<pre class="language-cpp highlight"><c- k>const</c-> <c- k>auto</c-> <c- n>dupEvenIndex</c-> <c- o>=</c-> <c- p>[](</c-><c- b>size_t</c-> <c- n>idx</c-><c- p>)</c-> <c- o>-></c-> <c- b>size_t</c-> <c- p>{</c-> <c- k>return</c-> <c- p>(</c-><c- n>idx</c-> <c- o>/</c-> <c- mi>2</c-><c- p>)</c-> <c- o>*</c-> <c- mi>2</c-><c- p>;</c-> <c- p>};</c->
<c- k>const</c-> <c- k>auto</c-> <c- n>de</c-> <c- o>=</c-> <c- n>permute</c-><c- p>(</c-><c- n>values</c-><c- p>,</c-> <c- n>dupEvenIndex</c-><c- p>);</c-></pre>
   <p>Note that the permutation function maps from the index of each output element to
the index which should be used as the source for that position. So, for example,
the <code class="highlight"><c- n>dupEvenIndex</c-></code> function would map the output indexes <code class="highlight"><c- p>[</c-><c- mi>0</c-><c- p>,</c-> <c- mi>1</c-><c- p>,</c-> <c- mf>2.</c-><c- p>..)</c-></code> to the
source indexes <code class="highlight"><c- p>[</c-><c- mi>0</c-> <c- mi>0</c-> <c- mi>2</c-> <c- mi>2</c-> <c- mi>4</c-> <c- mi>4</c->…<c- p>)</c-></code>. This example permutation is common enough that it
has hardware support in Intel processors, and the compiler can map the above
function directly to the corresponding instruction:</p>
   <p><code class="highlight"><c- n>vmovsldup</c-> <c- n>ymm0</c-><c- p>,</c-> <c- n>ymm0</c-></code></p>
   <p>By default, the permute function will generate as many elements in the output
simd as there were input values, but the output size can be explicitly specified
if it cannot be inferred or it needs to be modified. For example, the following
permute generates 4 values with a stride of 3 (i.e., indexes <code class="highlight"><c- p>[</c-><c- mi>0</c-><c- p>,</c-> <c- mi>3</c-><c- p>,</c-> <c- mi>6</c-><c- p>,</c-> <c- mi>9</c-><c- p>]</c-></code>).</p>
   <p><code class="highlight"><c- k>const</c-> <c- k>auto</c-> <c- n>stride3</c-> <c- o>=</c-> <c- n>permute</c-><c- o>&lt;</c-><c- mi>4</c-><c- o>></c-><c- p>(</c-><c- n>values</c-><c- p>,</c-> <c- p>[](</c-><c- b>size_t</c-> <c- n>idx</c-><c- p>)</c-> <c- o>-></c-> <c- b>size_t</c-> <c- p>{</c-> <c- k>return</c-> <c- n>idx</c-> <c- o>*</c-> <c- mi>3</c-><c- p>;</c-> <c- p>});</c-></code></p>
   <h4 class="heading settled" data-level="3.1.1" id="generator_extended_indexes"><span class="secno">3.1.1. </span><span class="content">Design option - extended indexes</span><a class="self-link" href="#generator_extended_indexes"></a></h4>
   <p>The obvious index representation to return from each generator invocation is to
return an integral value in the range <code class="highlight"><c- p>[</c-><c- mf>0.</c-><c- p>..</c-><c- n>size</c-><c- p>)</c-></code>. The compiler can enforce
at compile-time that the index is in the valid range and dynamic indexes would
not be permitted. However, there are three ways in which the set of permitted
indexes could be extended to give more flexibility, and to tell the compiler
more about the intent of the programmer for a given permutation.</p>
   <p>Firstly, the indexes could be extended to allow negative indexes, which would be
interpreted as indexes taken from the end of the simd instead of the beginning.
So -1 would be the last element, -2 the penultimate element, and so on. This
feature can be found in other languages.</p>
   <p>Secondly, the indexes could allow the special value 0 to be inserted. This would
need to be a special constant which is guaranteed not to clash with a valid
index. Inserting a zero could also be achieved by concatenating a
zero-initialized simd and selecting elements from that instead:</p>
   <p><code class="highlight"><c- n>permute</c-><c- p>(</c-><c- n>concat</c-><c- p>(</c-><c- n>v</c-><c- p>,</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- o>></c-><c- p>()),</c-> <c- p>[](</c-><c- k>auto</c-> <c- n>idx</c-><c- p>)</c-> <c- p>{</c-> <c- p>(</c-><c- n>idx</c-> <c- o>%</c-> <c- mi>2</c-><c- p>)</c-> <c- o>?</c-> <c- n>v</c-><c- p>.</c-><c- n>size</c-> <c- o>:</c-> <c- n>idx</c-><c- p>;</c-> <c- p>});</c-></code></p>
   <p>which with a zero constant could instead be written as:</p>
   <p><code class="highlight"><c- n>permute</c-><c- p>(</c-><c- n>v</c-><c- p>,</c-> <c- p>[](</c-><c- k>auto</c-> <c- n>idx</c-><c- p>)</c-> <c- p>{</c-> <c- p>(</c-><c- n>idx</c-> <c- o>%</c-> <c- mi>2</c-><c- p>)</c-> <c- o>?</c-> <c- n>simd_zero_element</c-> <c- o>:</c-> <c- n>idx</c-><c- p>;</c-> <c- p>});</c-></code></p>
   <p>Thirdly, it can be convenient and efficient to hint to the compiler that some
elements of the simd need not be given values. There could be special constant
called <code class="highlight"><c- n>simd_uninit_element</c-></code> which indicates to the compiler that it can use
an instruction sequence which is permitted to leave some values uninitialized if
that is faster.</p>
   <h4 class="heading settled" data-level="3.1.2" id="generator_size_param"><span class="secno">3.1.2. </span><span class="content">Design option - pass in size</span><a class="self-link" href="#generator_size_param"></a></h4>
   <p>It may be convenient to allow the permutation callable function to accept an
optional parameter giving the size of the incoming SIMD, in addition to the
index to generate. For example, a reverse function could be:</p>
   <p><code class="highlight"><c- k>auto</c-> <c- n>reverser</c-> <c- o>=</c-> <c- p>(</c-><c- b>size_t</c-> <c- n>index</c-><c- p>,</c-> <c- b>size_t</c-> <c- n>size</c-><c- p>)</c-> <c- p>{</c-> <c- k>return</c-> <c- n>size</c-> <c- o>-</c-> <c- n>index</c-><c- p>;</c-> <c- p>}</c-></code></p>
   <p>There is likely no need for this if extended indexes can be used to directly address
elements from the end.</p>
   <h4 class="heading settled" data-level="3.1.3" id="generator_implementation_experience"><span class="secno">3.1.3. </span><span class="content">Implementation Experience</span><a class="self-link" href="#generator_implementation_experience"></a></h4>
   <p>In other simd or vector libraries which provide named specific permute
functions, the reason often given is that it allows specific hardware
instructions to be used to efficiently implement those permutes. For example,
Intel has the <code class="highlight"><c- n>vmovsldup</c-></code> instruction as noted above, so some libraries
provide functions in their API with names which reflect this (e.g., such a
function might be called <code class="highlight"><c- n>DupLow</c-></code>). The disadvantages are that it hinders
portability, and only allows access to the hardware features that the authors of
the library have chosen to expose.</p>
   <p>Using the generator-based approach makes it easier to access a wide range of
underlying special purpose instructions, or to fall back to equivalent
instructions sequences where they are not available, but it is desirable that
such behavior should be efficient. To judge whether the generator-based
permutation API was efficient and useful we implemented the extensions in the
Intel <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> library and looked at the performance of different compile-time
patterns and their generated instruction sequences. We found that GCC and LLVM
were able to determine the correct hardware instructions to use for a variety of
common permutation patterns, and in some cases the compiler was even able to use
the side-effects of other instructions to effect permutations in ways that human
programmers had overlooked. In all cases, where the pattern was too complicated
to map to native hardware features the compiler fell back to using general
purpose permutation patterns, such as Intel’s <code class="highlight"><c- n>permutex2var</c-></code> family of
instructions.</p>
   <p>As a small illustration of the compiler’s ability, the following table shows
some compile-time function permute calls and the code that the LLVM 14.0.0
compiler has generated for each:</p>
   <table>
    <thead>
     <tr>
      <td>Permute call
      <td>Purpose
      <td>Output from clang 14.0.0 
    <tbody>
     <tr>
      <td><code class="highlight"><c- n>permute</c-> <c- p>(</c-><c- n>x</c-><c- p>,</c-> <c- p>[](</c-><c- k>auto</c-> <c- n>idx</c-><c- p>)</c-> <c- p>{</c-> <c- k>return</c-> <c- n>idx</c-> <c- o>&amp;</c-> <c- o>~</c-><c- mi>1</c-><c- p>;</c-> <c- p>});</c-></code> 
      <td> Duplicate even elements 
      <td> <code class="highlight"><c- n>vmovsldup</c-> <c- n>zmm0</c-><c- p>,</c-> <c- n>zmm0</c-></code> 
     <tr>
      <td><code class="highlight"><c- n>permute</c-> <c- p>(</c-><c- n>x</c-><c- p>,</c-> <c- p>[](</c-><c- k>auto</c-> <c- n>idx</c-><c- p>)</c-> <c- p>{</c-> <c- k>return</c-> <c- n>idx</c-> <c- o>^</c-> <c- mi>1</c-><c- p>;</c-> <c- p>});</c-> </code> 
      <td> Swap even/odd elements in each pair (complex-valued IQ swap) 
      <td> <code class="highlight"><c- n>vpermilps</c-> <c- n>ymm0</c-><c- p>,</c-> <c- n>ymm0</c-><c- p>,</c-> <c- mi>177</c-></code> 
     <tr>
      <td><code class="highlight"><c- n>permute</c-><c- o>&lt;</c-><c- mi>8</c-><c- o>></c-><c- p>(</c-><c- n>x</c-><c- p>,</c-> <c- p>[](</c-><c- k>auto</c-> <c- n>idx</c-><c- p>)</c-> <c- p>{</c-> <c- k>return</c-> <c- n>idx</c-> <c- o>+</c-> <c- mi>8</c-><c- p>;</c-> <c- p>});</c-> </code> 
      <td> Extract upper half of a 16-element vector. Note that the instruction sequence accepts a 
    zmm input and returns a ymm output. 
      <td> <code class="highlight"><c- n>vextractf64x4</c-> <c- n>ymm0</c-><c- p>,</c-> <c- n>zmm0</c-><c- p>,</c-> <c- mi>1</c-></code> 
   </table>
   <p>In each case the compiler has accepted the compile-time index constants and
converted them into an instruction which efficiently implements the desired
permutation. We can safely leave the compiler to determine the best instruction
from an arbitrary compile-time function.</p>
   <h3 class="heading settled" data-level="3.2" id="dynamic_indexing"><span class="secno">3.2. </span><span class="content">Using another SIMD as the dynamic index</span><a class="self-link" href="#dynamic_indexing"></a></h3>
   <p>The second proposal for the permute API is to allow the required indexes to be
passed in using a second SIMD value containing the run-time indexes:</p>
<pre class="language-cpp highlight"><c- k>template</c-><c- o>&lt;</c-><c- k>typename</c-> <c- nc>T</c-><c- p>,</c-> <c- k>typename</c-> <c- nc>AbiT</c-><c- p>,</c-> <c- n>std</c-><c- o>::</c-><c- n>integral</c-> <c- n>U</c-><c- p>,</c-> <c- k>typename</c-> <c- nc>AbiU</c-><c- o>></c->
<c- k>constexpr</c-> <c- n>resize_simd_t</c-><c- o>&lt;</c-><c- n>simd_size_v</c-><c- o>&lt;</c-><c- n>U</c-><c- p>,</c-> <c- n>AbiU</c-><c- o>></c-><c- p>,</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>AbiT</c-><c- o>>></c->
<c- n>permute</c-><c- p>(</c-><c- k>const</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>AbiT</c-><c- o>>&amp;</c-> <c- n>v</c-><c- p>,</c-> <c- k>const</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>U</c-><c- p>,</c-> <c- n>AbiU</c-><c- o>>&amp;</c-> <c- n>indexes</c-><c- p>)</c-></pre>
   <p>This can be used as in the following example:</p>
<pre class="language-cpp highlight"><c- n>fixed_size_simd</c-><c- o>&lt;</c-><c- b>unsigned</c-><c- p>,</c-> <c- mi>8</c-><c- o>></c-> <c- n>indexes</c-> <c- o>=</c-> <c- n>getIndexes</c-><c- p>();</c->
<c- n>fixed_size_simd</c-><c- o>&lt;</c-><c- b>float</c-><c- p>,</c-> <c- mi>5</c-><c- o>></c-> <c- n>values</c-> <c- o>=</c-> <c- n>getValues</c-><c- p>();</c->
<c- p>...</c->
<c- k>const</c-> <c- k>auto</c-> <c- n>result</c-> <c- o>=</c-> <c- n>permute</c-><c- p>(</c-><c- n>values</c-><c- p>,</c-> <c- n>indexes</c-><c- p>);</c->
<c- c1>// result::value_type is float</c->
<c- c1>// result::size is 8</c-></pre>
   <p>The permute function will return a new SIMD value which has the same element
type as the input value being permuted, and the same number of elements as the
indexing SIMD (i.e., float and 8 in the example above). The permute may
duplicate or arbitrarily reorder the values. The index values must be of
integral type, with no implicit conversions from other types permitted. The
behavior is undefined if any index is outside the valid index range. Dynamic
permutes across multiple input values are handled by concatenating the input
values together. The indexes in the selector will only be treated as indexes,
and will never have special properties as described above (e.g., no zero element
selection)</p>
   <p>In addition to (<em>or instead of?</em>) the function called permute, a subscript
operator will also be provided:</p>
<pre class="language-cpp highlight"><c- k>template</c-> <c- o>&lt;</c-><c- n>std</c-><c- o>::</c-><c- n>integral</c-> <c- n>U</c-><c- p>,</c-> <c- k>typename</c-> <c- nc>_AbiU</c-><c- o>></c->
<c- k>constexpr</c-> <c- n>resize_simd_t</c-><c- o>&lt;</c-><c- n>simd_size_v</c-><c- o>&lt;</c-><c- n>U</c-><c- p>,</c-> <c- n>AbiU</c-><c- o>></c-><c- p>,</c-> <c- n>simd</c-><c- o>></c->
<c- n>simd</c-><c- o>::</c-><c- k>operator</c-><c- p>[](</c-><c- k>const</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>U</c-><c- p>,</c-> <c- n>AbiU</c-><c- o>></c-> <c- o>&amp;</c-><c- n>indexes</c-><c- p>)</c-> <c- k>const</c-><c- p>;</c-></pre>
   <p>Here is an example of how this could be used:</p>
<pre class="language-cpp highlight"><c- n>fixed_size_simd</c-><c- o>&lt;</c-><c- b>int</c-><c- p>,</c-> <c- mi>8</c-><c- o>></c-> <c- n>indexes</c-> <c- o>=</c-> <c- n>getIndexes</c-><c- p>();</c->
<c- n>fixed_size_simd</c-><c- o>&lt;</c-><c- b>float</c-><c- p>,</c-> <c- mi>5</c-><c- o>></c-> <c- n>values</c-> <c- o>=</c-> <c- n>getValues</c-><c- p>();</c->
<c- p>...</c->
<c- k>const</c-> <c- k>auto</c-> <c- n>result</c-> <c- o>=</c-> <c- n>values</c-><c- p>[</c-><c- n>indexes</c-><c- p>];</c->
<c- c1>// result::value_type is float</c->
<c- c1>// result::size is 8</c-></pre>
   <h4 class="heading settled" data-level="3.2.1" id="multi_index"><span class="secno">3.2.1. </span><span class="content">Design option - C++23 multi-index subscript</span><a class="self-link" href="#multi_index"></a></h4>
   <p>Sometimes the subscripts to use in a permute might be known at compile time, but
to use them in a permutation requires them to be put into an index simd first:</p>
<pre class="highlight"><c- k>constexpr</c-> <c- n>simd</c-><c- o>&lt;</c-><c- b>int</c-><c- o>></c-> <c- n>indexes</c-> <c- o>=</c-> <c- p>{</c-><c- mi>3</c-><c- p>,</c-> <c- mi>6</c-><c- p>,</c-> <c- mi>1</c-><c- p>,</c-> <c- mi>6</c-><c- p>};</c->
<c- k>auto</c-> <c- n>output</c-> <c- o>=</c-> <c- n>values</c-><c- p>[</c-><c- n>indexes</c-><c- p>];</c-></pre>
   <p>In C++23 multi-subscript operator was introduced and this could be used to allow a more compact representation:</p>
<pre class="highlight"><c- k>auto</c-> <c- n>output</c-> <c- o>=</c-> <c- n>values</c-><c- p>[</c-><c- mi>3</c-><c- p>,</c-> <c- mi>6</c-><c- p>,</c-> <c- mi>1</c-><c- p>,</c-> <c- mi>6</c-><c- p>];</c->
<c- c1>// output::value_type is values::value_type</c->
<c- c1>// output::size is 4</c-></pre>
   <p>It would be good if it could also appear on the left-hand-side;</p>
<pre class="highlight"><c- n>output_simd</c-><c- p>[</c-><c- mi>2</c-><c- p>,</c-> <c- mi>5</c-><c- p>,</c-> <c- mi>6</c-><c- p>]</c-> <c- o>=</c-> <c- n>x</c-><c- p>;</c-> <c- c1>// Overwrite selected elements with a single value.</c-></pre>
   <p>Should non-constant indexes be allowed too? Our experience with GCC and LLVM
suggests that work would be needed on their code generation for non-constant
variable indexes to be improved though, as they are both currently poor at this.</p>
   <h4 class="heading settled" data-level="3.2.2" id="dynamic_implementation_experience"><span class="secno">3.2.2. </span><span class="content">Implementation experience</span><a class="self-link" href="#dynamic_implementation_experience"></a></h4>
   <p>We implemented the runtime-indexed permute API in Intel’s example <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> implementation. Small index operations (e.g., indexing one native sized simd by
another) were mapped directly onto the underlying native instruction and so were
as efficient as calling an intrinsic. More complicated cases for permutation,
such as where either the index or data SIMD parameters were bigger than a
native register are also handled with comparable efficiency to hand-written
intrinsic code.</p>
   <h3 class="heading settled" data-level="3.3" id="permute_by_mask"><span class="secno">3.3. </span><span class="content">Permutation using simd masks (compress/expand)</span><a class="self-link" href="#permute_by_mask"></a></h3>
   <p>A third variant of permutation is where a <code class="highlight"><c- n>simd_mask</c-></code> is used as a proxy for an
index sequence instead. The presence or absence of an element in the <code class="highlight"><c- n>simd_mask</c-></code> will cause the element to be used or not. The following diagrams illustrate this:</p>
   <p><img alt="…" 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" width="80%"></p>
   <p>On the left the values in the SIMD are compressed; only those elements which
have their respective <code class="highlight"><c- n>simd_mask</c-></code> element set will be copied into the next
available space in the output SIMD. Their relative order will be maintained, and
the selected elements will be stored contiguously in the output. The output
value will have the same number of elements as the input value, with any unused
elements being left in a valid but unspecified state. The behavior of the
function is similar to <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>copy_if</c-></code>, although other simd libraries may
call this function compression or compaction instead. The expansion function on
the right of the diagram has the opposite effect, copying values from a
contiguous region to potentially non-contiguous positions indicated by a mask
bit. The two functions have prototypes as follows:</p>
<pre class="language-cpp highlight"><c- k>template</c-><c- o>&lt;</c-><c- k>typename</c-> <c- nc>T</c-><c- p>,</c-> <c- k>typename</c-> <c- nc>Abi</c-><c- o>></c->
<c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>></c-> <c- n>compress</c-><c- p>(</c-><c- k>const</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>>&amp;</c-> <c- n>value</c-><c- p>,</c-> <c- k>const</c-> <c- n>simd_mask</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>>&amp;</c-> <c- n>mask</c-><c- p>);</c->

<c- k>template</c-><c- o>&lt;</c-><c- k>typename</c-> <c- nc>T</c-><c- p>,</c-> <c- k>typename</c-> <c- nc>Abi</c-><c- o>></c->
<c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>></c-> <c- n>expand</c-><c- p>(</c-><c- k>const</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>>&amp;</c-> <c- n>value</c-><c- p>,</c-> <c- k>const</c-> <c- n>simd_mask</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>>&amp;</c-> <c- n>mask</c-><c- p>);</c-></pre>
   <p>In addition to these named functions the subscript operator can also accept a mask:</p>
<pre class="language-cpp highlight"><c- k>auto</c-> <c- n>compressedValues</c-> <c- o>=</c-> <c- n>simdValues</c-><c- p>[</c-><c- n>mask</c-><c- p>];</c-></pre>
   <p>In all functions the output of the operation will have an element type which
matches the simd and simd_mask element types being permuted, and has the size of
the mask. The mask cannot be bigger than the simd value being permuted (to do so
would mean that some masked elements are beyond the end of the input values),
but the mask can be smaller than the input value (the input value is effectively
truncated).</p>
   <h4 class="heading settled" data-level="3.3.1" id="permute_lvalue_reference"><span class="secno">3.3.1. </span><span class="content">Design option - lvalue reference</span><a class="self-link" href="#permute_lvalue_reference"></a></h4>
   <p>Should <code class="highlight"><c- k>operator</c-><c- p>[</c-><c- n>simd_mask</c-><c- p>]</c-></code> be permitted on the left-hand side of an assignment
so that selected output elements of a simd can be written?</p>
<pre class="highlight"><c- n>simd_value</c-><c- p>[</c-><c- n>mask</c-><c- p>]</c-> <c- o>=</c-> <c- n>inputValues</c-><c- p>;</c-></pre>
   <p>This is equivalent to doing an expansion where those values of <code class="highlight"><c- n>simd_value</c-></code> for
which the respective mask bit is set will be overwritten, and all other elements
left as they were.</p>
   <p>With this syntax it might be desirable to allow this too:</p>
   <p><code class="highlight"><c- n>simd_value</c-><c- p>[</c-><c- n>mask</c-><c- p>]</c-> <c- o>=</c-> <c- n>scalar</c-><c- p>;</c-></code></p>
   <p>But that is no longer really a permute.</p>
   <h4 class="heading settled" data-level="3.3.2" id="compress_uninitialized"><span class="secno">3.3.2. </span><span class="content">Design option - unused value element initialisation</span><a class="self-link" href="#compress_uninitialized"></a></h4>
   <p>Consider a compression operation:</p>
<pre class="highlight"><c- n>fixed_size_simd</c-><c- o>&lt;</c-><c- b>int</c-><c- p>,</c-> <c- mi>10</c-><c- o>></c-> <c- n>values</c-> <c- o>=</c-> <c- p>...;</c->
<c- n>fixed_size_simd_mask</c-><c- o>&lt;</c-><c- b>int</c-><c- p>,</c-> <c- mi>6</c-><c- o>></c-> <c- n>mask</c-> <c- o>=</c-> <c- p>...;</c->

<c- k>auto</c-> <c- n>compressed</c-> <c- o>=</c-> <c- n>compress</c-><c- p>(</c-><c- n>values</c-><c- p>,</c-> <c- n>mask</c-><c- p>);</c->
<c- c1>// compressed::value_type is int</c->
<c- c1>// compressed::size is 6</c-></pre>
   <p>The output value has the same size as the mask selector, but the actual mask
bits won’t be known until run-time. This raises the question of what values
should be put into the unused output elements.</p>
   <p>The current proposal would leave the unused elements in a valid but unspecified
state. This is comparable to functions like <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>shift_left</c-></code> and <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>shift_right</c-></code>. The alternative is for the compress function to leave
the unused values in a value-initialized state.</p>
   <p>The advantage of an unspecified state is that the code doesn’t need to make a
special effort to insert values which might not be used anyway, but has the
disadvantage that the unspecified state might catch out the unwary user. Using a
value initialized state helps the unwary user by providing a default state which
is sane and repeatable, but may come with a performance cost.</p>
   <p>Intel have an example implementation of <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code>, and our experience with
that demonstrates that when native support is available (e.g., with AVX-512 ISA)
it makes no difference to performance whether the unused values are initialising
to specific value or left uninitialized, since the instruction itself inserts
the values into unused positions as an integrated part of its operation.
However, a synthesized code sequence is more expensive when setting the elements
to a specific value since it is necessary to also compute the population count
of the mask, turn that into a mask and then arrange for the unused values to be
overwritten with something else using that mask.</p>
   <p>Given that the compress function is essentially only extracting valid values
from the input SIMD and discarding the others, and that there is a potential
performance penalty that comes from initialising unused values, then we think
that the default should be to leave unused elements in unspecified states.</p>
   <p>Related to this is what to do when a programmer does want to initialize unused
values to a known value. With the proposed interface the programmer would be
required to compute a new partial mask from their original selection mask (i.e.,
compute the population count of the original mask, and then turn that into a
mask of the lower elements), and then use that to conditionally blend in their
desired value. This can be inefficient, and for targets like Intel AVX-512, it
doesn’t exploit the hardware’s ability to automatically insert a value anyway.
For this reason we propose that an overload of <code class="highlight"><c- n>compress</c-></code> is provided that
accepts a third parameter giving a value to insert into unused elements:</p>
<pre class="language-cpp highlight"><c- k>template</c-><c- o>&lt;</c-><c- k>typename</c-> <c- nc>T</c-><c- p>,</c-> <c- k>typename</c-> <c- nc>Abi</c-><c- o>></c->
<c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>></c-> <c- n>compress</c-><c- p>(</c-><c- k>const</c-> <c- n>simd</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>>&amp;</c-> <c- n>value</c-><c- p>,</c-> <c- k>const</c-> <c- n>simd_mask</c-><c- o>&lt;</c-><c- n>T</c-><c- p>,</c-> <c- n>Abi</c-><c- o>>&amp;</c-> <c- n>mask</c-><c- p>,</c-> <c- n>T</c-> <c- n>default_value</c-><c- p>);</c-></pre>
   <p>This makes the programmer’s intent explicit in the code, it simplifies the code,
and it allows those targets which support automatic insertion of a value to
efficiently make use of that feature.</p>
   <h4 class="heading settled" data-level="3.3.3" id="permute_as_compress"><span class="secno">3.3.3. </span><span class="content">Design option - use permute as a name instead of compress</span><a class="self-link" href="#permute_as_compress"></a></h4>
   <p>Rather than <code class="highlight"><c- n>compress</c-></code>, should it be called <code class="highlight"><c- n>permute</c-><c- p>(</c-><c- n>value</c-><c- p>,</c-> <c- n>mask</c-><c- p>)</c-></code>? That is
uniform compared to the other permutation functions. This would also require
replacing <code class="highlight"><c- n>expand</c-></code> with a call to <code class="highlight"><c- n>permute</c-></code> where it appears as the
destination:</p>
<pre class="language-cpp highlight"><c- n>output</c-> <c- o>=</c-> <c- n>permute</c-><c- p>(</c-><c- n>input</c-><c- p>,</c-> <c- n>mask</c-><c- p>);</c-> <c- c1>// Compression - choose active elements</c->
<c- n>permute</c-><c- p>(</c-><c- n>output</c-><c- p>,</c-> <c- n>mask</c-><c- p>)</c-> <c- o>=</c-> <c- n>input</c-><c- p>;</c-> <c- c1>// Expansion - write from contiguous input to selected output</c-></pre>
   <p>These look a bit odd in use, so <code class="highlight"><c- k>operator</c-><c- p>[]</c-></code> is maybe more obvious.</p>
<pre class="language-cpp highlight"><c- n>output</c-> <c- o>=</c-> <c- n>input</c-><c- p>[</c-><c- n>simd_mask</c-><c- p>];</c->
<c- n>output</c-><c- p>[</c-><c- n>simd_mask</c-><c- p>]</c-> <c- o>=</c-> <c- n>input</c-><c- p>;</c-></pre>
   <h4 class="heading settled" data-level="3.3.4" id="permute_by_mask_implementation"><span class="secno">3.3.4. </span><span class="content">Implementation Experience</span><a class="self-link" href="#permute_by_mask_implementation"></a></h4>
   <p>In Intel’s example implementation of <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> we have implemented
permute-by-mask. On modern processors which support AVX-512 or VBMI2 we found
the mapping from <code class="highlight"><c- n>compress</c-></code> or <code class="highlight"><c- k>operator</c-><c- p>[]</c-></code> to be efficient, and allowed
a natural representation of this compaction operation where needed. Implementing
permute-by-mask on older processors which lacked native support was a little
harder, but could still be implemented as efficiently as an experienced
programmer could achieve using hand-written intrinsics. Determining the most
efficient implementation under all conditions however showed that less experienced
programmers would struggle to implement this feature. Therefore, making this
feature available in <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> itself removed any non-portable calls to native
compression/expansion instructions, and also allowed the library implementer to
use efficient sequences for different scenarios.</p>
   <h3 class="heading settled" data-level="3.4" id="memory_permutes"><span class="secno">3.4. </span><span class="content">Memory-based permutes</span><a class="self-link" href="#memory_permutes"></a></h3>
   <p>When permuting values which are stored in memory, the operations are normally
called gather (reading data from memory), or scatter (writing values to memory).
The existing proposals for permute above could be overloaded to also accept a
memory pointer:</p>
<pre class="language-cpp highlight"><c- b>int</c-> <c- n>array</c-><c- p>[</c-><c- mi>1024</c-><c- p>];</c->
<c- p>...</c->
<c- k>const</c-> <c- k>auto</c-> <c- n>r0</c-> <c- o>=</c-> <c- n>permute</c-><c- o>&lt;</c-><c- mi>6</c-><c- o>></c-><c- p>(</c-><c- n>array</c-><c- p>,</c-> <c- n>dupEven</c-><c- p>);</c->
<c- k>const</c-> <c- k>auto</c-> <c- n>r1</c-> <c- o>=</c-> <c- n>permute</c-><c- p>(</c-><c- n>array</c-><c- p>,</c-> <c- n>indexes</c-><c- p>);</c-></pre>
   <p>Alternatively, these functions could be called gather and scatter to make it
explicitly clear that they are operating on memory.</p>
<pre class="language-cpp highlight"><c- b>int</c-> <c- n>array</c-><c- p>[</c-><c- mi>1024</c-><c- p>];</c->
<c- p>...</c->
<c- k>const</c-> <c- k>auto</c-> <c- n>r0</c-> <c- o>=</c-> <c- n>gather</c-><c- o>&lt;</c-><c- mi>6</c-><c- o>></c-><c- p>(</c-><c- n>array</c-><c- p>,</c-> <c- n>dupEven</c-><c- p>);</c->
<c- k>const</c-> <c- k>auto</c-> <c- n>r1</c-> <c- o>=</c-> <c- n>gather</c-><c- p>(</c-><c- n>array</c-><c- p>,</c-> <c- n>indexes</c-><c- p>);</c-></pre>
   <p>Or if <a data-link-type="biblio" href="#biblio-dnmso" title="Non-Member Subscript Operator">[DNMSO]</a> is allowed, then a pointer or <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>contiguous_iterator</c-></code> would be used directly:</p>
<pre class="highlight"><c- n>m</c-> <c- o>=</c-> <c- n>v</c-><c- p>.</c-><c- n>begin</c-><c- p>();</c->
<c- k>auto</c-> <c- n>data</c-> <c- o>=</c-> <c- n>m</c-><c- p>[</c-><c- n>simd_values</c-><c- p>];</c->

<c- n>m</c-><c- p>[</c-><c- n>simd_values</c-><c- p>]</c-> <c- o>=</c-> <c- n>inputs</c-><c- p>;</c-> <c- c1>// Scatter to memory</c-></pre>
   <p>Note that the permute-by-mask operations could also be permitted on memory:</p>
<pre class="highlight"><c- k>auto</c-> <c- n>data</c-> <c- o>=</c-> <c- n>m</c-><c- p>[</c-><c- n>simd_mask</c-><c- p>];</c-> <c- c1>// Analagous to std::copy_if</c->
<c- n>m</c-><c- p>[</c-><c- n>simd_mask</c-><c- p>]</c-> <c- o>=</c-> <c- n>inputs</c-><c- p>;</c->    <c- c1>// Expand to memory</c-></pre>
   <h2 class="heading settled" data-level="4" id="named_permute_functions"><span class="secno">4. </span><span class="content">Named functions</span><a class="self-link" href="#named_permute_functions"></a></h2>
   <p>The APIs discussed in this document are very flexible and can be used to build
effectively arbitrary permutations. However, there are inevitably certain
patterns that are very common and it could be convenient to provide named
functions for those patterns. For example:</p>
<pre class="language-cpp highlight"><c- k>auto</c-> <c- n>dupEven</c-><c- p>(</c-><c- n>simdable</c-> <c- n>v</c-><c- p>)</c-> <c- p>{</c->
    <c- k>return</c-> <c- n>permute</c-><c- p>(</c-><c- n>v</c-><c- p>,</c-> <c- p>[](</c-><c- b>size_t</c-> <c- n>idx</c-><c- p>)</c-> <c- o>-></c-> <c- b>size_t</c-> <c- p>{</c-> <c- k>return</c-> <c- p>(</c-><c- n>idx</c-> <c- o>/</c-> <c- mi>2</c-><c- p>)</c-> <c- o>*</c-> <c- mi>2</c-><c- p>;</c-> <c- p>});</c->
<c- p>};</c->
<c- k>auto</c-> <c- n>dupOdd</c-><c- p>(</c-><c- n>simdable</c-> <c- n>v</c-><c- p>)</c-> <c- p>{</c->
    <c- k>return</c-> <c- n>permute</c-><c- p>(</c-><c- n>v</c-><c- p>,</c-> <c- p>[](</c-><c- b>size_t</c-> <c- n>idx</c-><c- p>)</c-> <c- o>-></c-> <c- b>size_t</c-> <c- p>{</c-> <c- k>return</c-> <c- n>idx</c-> <c- o>|</c-> <c- mi>1</c-><c- p>;</c-> <c- p>});</c->
<c- p>};</c->
<c- k>auto</c-> <c- n>swapOddEven</c-><c- p>(</c-><c- n>simdable</c-> <c- k>auto</c-> <c- n>v</c-><c- p>)</c-> <c- p>{</c->
    <c- k>return</c-> <c- n>permute</c-><c- p>(</c-><c- n>v</c-><c- p>,</c-> <c- p>[](</c-><c- b>size_t</c-> <c- n>idx</c-><c- p>)</c-> <c- o>-></c-> <c- b>size_t</c-> <c- p>{</c-> <c- k>return</c-> <c- n>idx</c-> <c- o>^</c-><c- mi>1</c-><c- p>;</c-> <c- p>});</c->
<c- p>}</c->
<c- k>auto</c-> <c- n>even</c-><c- p>(</c-><c- n>simdable</c-> <c- k>auto</c-> <c- n>v</c-><c- p>)</c-> <c- p>{</c->
    <c- k>return</c-> <c- n>permute</c-><c- o>&lt;</c-><c- n>v</c-><c- o>::</c-><c- n>size</c-><c- p>()</c-> <c- o>/</c-> <c- mi>2</c-><c- o>></c-><c- p>(</c-><c- n>v</c-><c- p>,</c-> <c- p>[](</c-><c- b>size_t</c-> <c- n>idx</c-><c- p>)</c-> <c- o>-></c-> <c- b>size_t</c-> <c- p>{</c-> <c- k>return</c-> <c- n>idx</c-> <c- o>*</c-> <c- mi>2</c-><c- p>;</c-> <c- p>};);</c->
<c- p>}</c-></pre>
   <p>In many cases there are already names in C++ that reflect the operation.
Providing overloads in <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>simd</c-></code> which create SIMD functions with similar
names to their existing C++ counterparts makes it clear to the programmer what
the function is doing when applied to a SIMD value. For example:</p>
<pre class="highlight"><c- n>std</c-><c- o>::</c-><c- n>rotate</c->
<c- n>std</c-><c- o>::</c-><c- n>shift_left</c->
<c- n>std</c-><c- o>::</c-><c- n>shift_right</c->
<c- n>std</c-><c- o>::</c-><c- n>copy_if</c->
<c- n>std</c-><c- o>::</c-><c- n>remove_if</c->
<c- n>std</c-><c- o>::</c-><c- n>slice</c-> <c- c1>// tricky - used for valarray at the moment, but it</c->
           <c- c1>// also captures concepts like odd and even</c->
<c- n>std</c-><c- o>::</c-><c- n>stable_partition</c-> <c- c1>// Use a mask to split the values</c-></pre>
   <p>These functions could be added at a later date.</p>
   <h2 class="heading settled" data-level="5" id="wording"><span class="secno">5. </span><span class="content">Wording</span><a class="self-link" href="#wording"></a></h2>
   <p><em>TBD</em></p>
   <h2 class="heading settled" data-level="6" id="summary"><span class="secno">6. </span><span class="content">Summary</span><a class="self-link" href="#summary"></a></h2>
   <p>In this document we have described three styles of interface for handling
permutes: compile-time generated, simd-indexed, and mask-indexed. In
combination, these three interfaces allow all types of common permute to be
expressed in a way which is clean, concise, and efficient for the compiler to
implement.</p>
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  <h2 class="no-num no-ref heading settled" id="references"><span class="content">References</span><a class="self-link" href="#references"></a></h2>
  <h3 class="no-num no-ref heading settled" id="informative"><span class="content">Informative References</span><a class="self-link" href="#informative"></a></h3>
  <dl>
   <dt id="biblio-dnmso">[DNMSO]
   <dd>Matthias Kretz. <a href="https://web-docs.gsi.de/~mkretz/DNMSO.pdf"><cite>Non-Member Subscript Operator</cite></a>. URL: <a href="https://web-docs.gsi.de/~mkretz/DNMSO.pdf">https://web-docs.gsi.de/~mkretz/DNMSO.pdf</a>
   <dt id="biblio-highway">[Highway]
   <dd>Google. <a href="https://github.com/google/highway/"><cite>Google Highway</cite></a>. URL: <a href="https://github.com/google/highway/">https://github.com/google/highway/</a>
   <dt id="biblio-p0918r1">[P0918R1]
   <dd>Tim Shen. <a href="https://wg21.link/p0918r1"><cite>More simd&lt;> Operations</cite></a>. 29 March 2018. URL: <a href="https://wg21.link/p0918r1">https://wg21.link/p0918r1</a>
   <dt id="biblio-p1915r0">[P1915R0]
   <dd>Matthias Kretz. <a href="https://wg21.link/p1915r0"><cite>Expected Feedback from simd in the Parallelism TS 2</cite></a>. 7 October 2019. URL: <a href="https://wg21.link/p1915r0">https://wg21.link/p1915r0</a>
   <dt id="biblio-p1928r3">[P1928R3]
   <dd>Matthias Kretz. <a href="https://wg21.link/p1928r3"><cite>Merge data-parallel types from the Parallelism TS 2</cite></a>. 3 February 2023. URL: <a href="https://wg21.link/p1928r3">https://wg21.link/p1928r3</a>
   <dt id="biblio-p2638r0">[P2638R0]
   <dd>Daniel Towner. <a href="https://wg21.link/p2638r0"><cite>Intel's response to P1915R0 for std::simd parallelism in TS 2</cite></a>. 22 September 2022. URL: <a href="https://wg21.link/p2638r0">https://wg21.link/p2638r0</a>
  </dl>