{"id":76,"date":"2026-10-17T10:54:30","date_gmt":"2026-10-17T10:54:30","guid":{"rendered":"https:\/\/therisk.global\/data-compute\/?page_id=76"},"modified":"2026-10-17T10:54:30","modified_gmt":"2026-10-17T10:54:30","slug":"high-performance-computing","status":"publish","type":"page","link":"https:\/\/therisk.global\/data-compute\/topics\/high-performance-computing\/","title":{"rendered":"High performance computing"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/data-compute\/topics\/high-performance-computing\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-data\" 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\"><style>#nxe-nwn4053j.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-nwn4053j.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nwn4053j.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nwn4053j.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nwn4053j.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nwn4053j.nxe :where(ul,ol){padding-left:20px}#nxe-nwn4053j.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nwn4053j.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nwn4053j.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nwn4053j.nxe svg{display:none}#nxe-nwn4053j.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nwn4053j.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nwn4053j.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"console\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P10 \u00b7 TOPIC \u00b7 high-performance-computing<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Data and Compute<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Data and Compute<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">High performance computing<\/h1><p class=\"nx-tagline\">High-performance computing runs the weather forecasts, climate projections, engineering simulations, genomics and AI training that modern science and public services rely on. National capacity depends on machines, software, skilled people, energy and long-term funding. This page sets out how HPC capacity is built and used, how it is measured, and what evidence serves the research funders and agencies that plan national computing.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/data-compute\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/data-compute\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">G-P10 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Connected activity in the contiguous\u2026<\/a><a href=\"#nx-sec-question\"><span>03<\/span>High performance computing: how the\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">High-performance computing is the use of supercomputers and parallel processing to run large simulations and analyses, from weather forecasts to genomics and AI. National capacity depends on machines that age fast, software and skilled people to use them, power supply and long-term funding.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Connected activity in the contiguous United States.<\/h2><p class=\"nx-lede\">For high performance computing, in GCRI's spatial-intelligence reading, the map opens on night lights, population density and true-colour imagery with true colour from NASA GIBS, framed on the contiguous United States; every other NASA layer, live feed and forecast waits in the layer list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"united-states:digital\" data-ml-src=\"digital\" data-ml-plan=\"p-f6c9f59f\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-125,24.5,-66.9,49.5\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, the contiguous United States: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-short=\"Precipitation\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite estimate, near real time\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Precipitation rate, daily mean<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC GPM IMERG \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"imerg\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For high performance computing, in GCRI's spatial-intelligence reading, the map opens on night lights, population density and true-colour imagery with true colour from NASA GIBS, framed on the contiguous United States; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 Copernicus Sentinel-2 L2A \u00b7 NASA HLS S30<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gpm.imerg\">GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P10\/topics\/high-performance-computing\/#map\" data-nxf-title=\"Data and Compute live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"split\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">High performance computing: how the risk develops.<\/h2><p class=\"nx-lede\">HPC\/GPU workloads and scientific compute. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect width=\"20\" height=\"8\" x=\"2\" y=\"2\" rx=\"2\" ry=\"2\"\/><rect width=\"20\" height=\"8\" x=\"2\" y=\"14\" rx=\"2\" ry=\"2\"\/><line x1=\"6\" x2=\"6.01\" y1=\"6\" y2=\"6\"\/><line x1=\"6\" x2=\"6.01\" y1=\"18\" y2=\"18\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Capability and capacity differ<\/h3><p class=\"nx-p nx-mt-1\">Some problems need one very large machine running one job; others need many smaller jobs. Planning for one does not serve the other.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 22h14\"\/><path d=\"M5 2h14\"\/><path d=\"M17 22v-4.172a2 2 0 0 0-.586-1.414L12 12l-4.414 4.414A2 2 0 0 0 7 17.828V22\"\/><path d=\"M7 2v4.172a2 2 0 0 0 .586 1.414L12 12l4.414-4.414A2 2 0 0 0 17 6.172V2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Machines age fast<\/h3><p class=\"nx-p nx-mt-1\">Supercomputers are replaced every few years as performance per watt improves. Gaps between systems interrupt the work of forecasting and research centres.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Software and skills limit use<\/h3><p class=\"nx-p nx-mt-1\">Codes must be ported and optimised for new architectures such as GPUs. Shortages of research software engineers leave capacity underused.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M4 14a1 1 0 0 1-.78-1.63l9.9-10.2a.5.5 0 0 1 .86.46l-1.92 6.02A1 1 0 0 0 13 10h7a1 1 0 0 1 .78 1.63l-9.9 10.2a.5.5 0 0 1-.86-.46l1.92-6.02A1 1 0 0 0 11 14z\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Power sets the ceiling<\/h3><p class=\"nx-p nx-mt-1\">Large systems draw megawatts. Energy cost and grid capacity increasingly decide where and how large new machines can be.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Capability computing<\/td><td data-label=\"Definition\">Using a large share of a supercomputer for a single, very large job.<\/td><\/tr><tr><td data-label=\"Term\">Capacity computing<\/td><td data-label=\"Definition\">Running many smaller jobs at the same time to maximise total throughput of a system.<\/td><\/tr><tr><td data-label=\"Term\">Research software engineer<\/td><td data-label=\"Definition\">A professional who develops and maintains software used in research.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Sustained performance on standard benchmarks<\/td><td data-label=\"Unit\">floating point operations per second<\/td><td data-label=\"Cadence\">twice yearly<\/td><td data-label=\"Source type\">TOP500 list<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Energy efficiency<\/td><td data-label=\"Unit\">floating point operations per watt<\/td><td data-label=\"Cadence\">twice yearly<\/td><td data-label=\"Source type\">Green500 list<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">System utilisation<\/td><td data-label=\"Unit\">percent of available node hours used<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Centre usage records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Allocation oversubscription<\/td><td data-label=\"Unit\">ratio of requested to available hours<\/td><td data-label=\"Cadence\">per call<\/td><td data-label=\"Source type\">Allocation records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Research software engineers employed<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Centre staffing records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Codes ported to accelerators<\/td><td data-label=\"Unit\">percent of major community codes<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">Centre reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P10\/topics\/high-performance-computing\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 High performance computing as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p10-topics-high-performance-computing-b-t nx-dag-g-p10-topics-high-performance-computing-b-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p10-topics-high-performance-computing-b-t\">High performance computing: build, test and release in Nexus Foundry<\/title><desc id=\"nx-dag-g-p10-topics-high-performance-computing-b-d\">A request opens a workspace; data are ingested and validated; the model is built and tested on held-out data; an independent gate approves release with limits; the workspace is stood down and the record kept. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">TOP500 and Green500 lists<\/td><td data-label=\"What it gives\">Performance and energy efficiency of the most powerful systems<\/td><td data-label=\"Licence class\">Public, TOP500 terms<\/td><\/tr><tr><td data-label=\"Source\">EuroHPC Joint Undertaking reports and access calls<\/td><td data-label=\"What it gives\">European supercomputers and allocation<\/td><td data-label=\"Licence class\">Public, EU terms<\/td><\/tr><tr><td data-label=\"Source\">National HPC centre annual reports<\/td><td data-label=\"What it gives\">Usage, allocation and science outputs<\/td><td data-label=\"Licence class\">Public records, terms per centre<\/td><\/tr><tr><td data-label=\"Source\">ESFRI roadmap and landscape analysis<\/td><td data-label=\"What it gives\">European research infrastructure planning<\/td><td data-label=\"Licence class\">Public, EU terms<\/td><\/tr><tr><td data-label=\"Source\">WMO reports on numerical weather prediction capacity<\/td><td data-label=\"What it gives\">Computing used by meteorological services<\/td><td data-label=\"Licence class\">Public, WMO terms<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P10\/topics\/high-performance-computing\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Data and Compute prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Research funders and science ministries<\/td><td data-label=\"The question\">What computing capacity to fund and where<\/td><td data-label=\"Evidence this page serves\">Capacity and demand reviews; oversubscription<\/td><\/tr><tr><td data-label=\"Who decides\">HPC centres<\/td><td data-label=\"The question\">How to allocate time and support users<\/td><td data-label=\"Evidence this page serves\">Utilisation and allocation analyses<\/td><\/tr><tr><td data-label=\"Who decides\">Meteorological and climate services<\/td><td data-label=\"The question\">When to procure the next system<\/td><td data-label=\"Evidence this page serves\">Performance and workload evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>National HPC capacity and demand reviews<\/li><li>Allocation and utilisation analyses<\/li><li>Workforce and software readiness assessments<\/li><li>Evidence notes for computing investment plans<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What HPC experts ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which workloads need tightly coupled supercomputers, and which can run on cloud or distributed resources?<\/li><li>How should capacity be balanced between traditional simulation and AI workloads, which favour different architectures?<\/li><li>Can scientific codes be ported to new architectures without years of rewriting?<\/li><li>Who gets access, and how are competing scientific priorities weighed?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What makes HPC distinct.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Large simulations divide a problem into many pieces that must exchange data constantly. Performance depends not only on processor speed but on memory bandwidth, the interconnect between nodes and input and output to storage. A system that is fast on paper can be slow for a given code if these are unbalanced.<\/p><p class=\"nx-p\">Accelerators such as GPUs deliver much more arithmetic per unit of energy for suitable workloads, which is why AI training uses them. But many scientific codes were written for conventional processors and need substantial effort to use accelerators well. Architecture shifts therefore create a software burden and a skills burden, not just a procurement decision.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"infrastructure\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How capacity is planned and evaluated.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Workload analysis<\/h3><p class=\"nx-p nx-mt-1\">Profiling the actual codes and data volumes a community runs. Limits: future workloads, especially AI, are hard to predict.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Benchmarks<\/h3><p class=\"nx-p nx-mt-1\">Standard tests of computing performance. Limits: no benchmark represents all workloads, and peak figures overstate real performance.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Capacity planning<\/h3><p class=\"nx-p nx-mt-1\">Modelling demand, utilization and replacement cycles with <a class=\"nx-link\" href=\"https:\/\/therisk.global\/data-compute\/stem\/optimization\/\">optimization and operations research<\/a>. Limits: depends on funding cycles and hardware availability.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Energy efficiency analysis<\/h3><p class=\"nx-p nx-mt-1\">Measuring useful work per unit of energy, linked to <a class=\"nx-link\" href=\"https:\/\/therisk.global\/data-compute\/stem\/power-engineering\/\">power systems engineering<\/a>. Limits: comparisons across workloads are difficult.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/data-compute\/stem\/computing\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">High-performance, cloud and edge computing<\/span><span class=\"nx-mledger-role\">Workload characterisation \u00b7 Porting codes to new architectures \u00b7 Hybrid cloud and HPC workflows<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/computing\/\" aria-label=\"High-performance, cloud and edge computing: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/data-compute\/stem\/energy-technology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Energy generation, storage and grid technology<\/span><span class=\"nx-mledger-role\">Cooling technology comparison \u00b7 On-site energy options \u00b7 Heat reuse feasibility<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/energy-technology\/\" aria-label=\"Energy generation, storage and grid technology: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/data-compute\/stem\/optimization\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Optimization and operations research<\/span><span class=\"nx-mledger-role\">Job scheduling policies \u00b7 Carbon-aware workload shifting \u00b7 Capacity planning<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/optimization\/\" aria-label=\"Optimization and operations research: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/data-compute\/stem\/physics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Physics and quantum science<\/span><span class=\"nx-mledger-role\">Energy limits of computation \u00b7 Thermal management physics \u00b7 Assessing new computing paradigms<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/physics\/\" aria-label=\"Physics and quantum science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Benchmark performance does not equal performance on real scientific workloads. Utilisation figures do not show the value of the science done. Demand estimates rely on users' requests, which are shaped by what is available. Energy figures cover machines, not always facilities. Data and Compute does not allocate computing; centres and funders decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is a supercomputer?<\/summary><div class=\"nx-answer\">A computer system with very high processing capability, typically thousands of linked processors, used for large simulations and data analysis.<\/div><\/details><details><summary>What does the TOP500 measure?<\/summary><div class=\"nx-answer\">The sustained performance of systems on the LINPACK benchmark, which solves a dense system of linear equations, published twice a year.<\/div><\/details><details><summary>Why are GPUs used in HPC?<\/summary><div class=\"nx-answer\">Because they perform many calculations in parallel efficiently, which suits simulations and AI, though existing codes must be adapted to use them.<\/div><\/details><details><summary>Will cloud computing replace supercomputers?<\/summary><div class=\"nx-answer\">For many workloads, cloud is a good fit. Tightly coupled simulations that need fast interconnects still tend to run best on dedicated systems, although the boundary is shifting.<\/div><\/details><details><summary>Why do AI and simulation compete for capacity?<\/summary><div class=\"nx-answer\">Both need large amounts of computing, but they favour different hardware balances. Centres must decide how to serve both within limited budgets and power.<\/div><\/details><details><summary>Does the platform publish rankings of computing capacity?<\/summary><div class=\"nx-answer\">No. It publishes methods for describing capacity, need and dependency.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Data and Compute.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/data-compute\/topics\/public-interest-data-infrastructure\/\">Public interest data infrastructure <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/cloud-and-edge-systems\/\">Cloud and edge systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/chips-and-semiconductors\/\">Chips and semiconductors <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/data-rights-and-trust\/\">Data rights and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/reproducible-pipelines\/\">Reproducible pipelines <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/topics\/compute-energy-water\/\">Compute energy water <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/\">Data and Compute home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/data-compute\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Data and Compute<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Data%20and%20Compute%3A%20High%20performance%20computing\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/data-compute\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/data-compute\/topics\/high-performance-computing\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/data-compute\/topics\/high-performance-computing\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is a supercomputer?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A computer system with very high processing capability, typically thousands of linked processors, used for large simulations and data analysis.\"}},{\"@type\":\"Question\",\"name\":\"What does the TOP500 measure?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The sustained performance of systems on the LINPACK benchmark, which solves a dense system of linear equations, published twice a year.\"}},{\"@type\":\"Question\",\"name\":\"Why are GPUs used in HPC?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because they perform many calculations in parallel efficiently, which suits simulations and AI, though existing codes must be adapted to use them.\"}},{\"@type\":\"Question\",\"name\":\"Will cloud computing replace supercomputers?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"For many workloads, cloud is a good fit. 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