{"id":181639,"date":"2026-05-21T18:25:05","date_gmt":"2026-05-21T16:25:05","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/fluidx3d-v3-7"},"modified":"2026-05-21T18:25:05","modified_gmt":"2026-05-21T16:25:05","slug":"fluidx3d-v3-7","status":"publish","type":"post","link":"https:\/\/prohoster.info\/no\/blog\/news\/fluidx3d-v3-7","title":{"rendered":"FluidX3D v3.7","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><noindex>      <noindex><\/p>\n<p><a rel=\"nofollow\" href=\"https:\/\/github.com\/ProjectPhysX\/FluidX3D\">FluidX3D 3.7<\/a> &ndash; pakke for beregningsmessig hydrodynamikk, som bruker Boltzmann-ligningenes gittermetode (LBM) og OpenCL. Prosjektet posisjoneres som en h\u00f8yytelses og minne\u00f8konomisk CFD-pakke, i stand til \u00e5 kj\u00f8re p\u00e5 GPU-er og CPU-er fra ulike produsenter gjennom OpenCL.<\/p>\n<p><\/noindex><\/noindex><\/p>\n<p>Den viktigste endringen i versjon 3.7 er optimaliseringen av kjernen som tegner isoplover for Q-kriteriet (graphics_q()), brukt for visualisering av virvelstrukturer i str\u00f8mningen. I den tidligere implementasjonen lastet kjernen inn en tung mal med 32 tredimensjonale hastigheter fra videominne for hver rutenettcelle. N\u00e5 laster en arbeidsgruppe med tr\u00e5der i st\u00f8rrelse 8\u00d78\u00d78 inn et blokk med 11\u00d711\u00d711 hastigheter i 16 KB lokal f\u00f8rste-niv\u00e5 minne, hvoretter nabotr\u00e5der gjenbruker disse dataene. Forfatterens estimat indikerer at dette reduserer antall laster fra VRAM med omtrent 12 ganger \u2014 ned til 2,6 hastigheter per celle \u2014 og flytter kjernen fra en minnebegrenset modus til en beregningsbegrenset modus.<\/p>\n<p>Den praktiske gevinsten avhenger av spesifikk maskinvare. P\u00e5 nye GPU-er med utviklede cache-systemer gir manuell optimalisering av lokal minne nesten ingen \u00f8kning, eller reduserer til og med bildefrekvensen litt. P\u00e5 enkelte eldre GPU-er har forfatteren registrert en hastighet p\u00e5 opptil to ganger, noe som er spesielt merkbart i det interaktive grafiske moduset til FluidX3D. For eksempel, i publiserte tester har NVIDIA Titan Xp akselerert fra 7 til 13 bilder\/s, Intel UHD 770 fra 8 til 14 bilder\/s i en av modusene, og Intel Arc A750 fra 22 til 26 bilder\/s.<\/p>\n<p>For eldre integrerte GPU-er er det lagt inn en automatisk tilbakef\u00f8ring til den tidligere implementeringen: enkelte av disse enhetene st\u00f8tter ikke arbeidsgrupper med 512 tr\u00e5der, eller har mindre enn 16 KB lokal L1-minne. I slike tilfeller vil FluidX3D fortsette \u00e5 bruke den gamle versjonen av kjernen for \u00e5 opprettholde kompatibilitet.<\/p>\n<p>Denne versjonen forenkler ogs\u00e5 betingelsene for VR-rendering, deaktiverer utvidelsen av l\u00f8kker i rasterisering for \u00e5 redusere \"spaghetti\" i assemblerutgangen, legger til mikrooptimalisering i convert_triangle\/_interpolated(), og retter feilmeldingen i OpenCL-adapteren n\u00e5r kjernens navn og st\u00f8rrelsen p\u00e5 arbeidsgruppen er tomme.<\/p>\n<p><noindex><\/p>\n<p>FluidX3D inkluderer en innebygd interaktiv 3D-renderer som gj\u00f8r det mulig \u00e5 se p\u00e5 hastighetsfelt, str\u00f8mlinjer, isopoverflater av Q-kriteriet og skj\u00e6ringer direkte under beregningen, uten behov for eksport til et separat etterbehandlingsverkt\u00f8y. <a rel=\"nofollow\" href=\"https:\/\/fluidx3d.com\/\">FluidX3D<\/a> Prosjektet annonserer ogs\u00e5 st\u00f8tte for frie overflater, termisk konveksjon, Smagorinsky-Lilly turbulensmodeller, partikkelsporing, VTK eksport og bruk av flere GPU-er.<\/p>\n<p><\/noindex><br \/>\n<noindex><\/p>\n<p>Det er ogs\u00e5 verdt \u00e5 merke seg lisensstatusen: kildekoden til FluidX3D er \u00e5pen og tilgjengelig p\u00e5 GitHub, men <a rel=\"nofollow\" href=\"https:\/\/github.com\/ProjectPhysX\/FluidX3D\/blob\/master\/LICENSE.md\">prosjektlisensen<\/a> er ikke fri i den strenge betydningen av OSI\/FSF. Den tillater bruk for offentlig forskning, utdanning og personlige form\u00e5l, men forbyr kommersiell og milit\u00e6r bruk, samt oppl\u00e6ring av AI-modeller p\u00e5 kildekoden.<\/p>\n<p><\/noindex><\/p>\n<p>Kilde: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/news\/opensource\/18295551\">linux.org.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>FluidX3D 3.7 &ndash; \u043f\u0430\u043a\u0435\u0442 \u0434\u043b\u044f \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0433\u0438\u0434\u0440\u043e\u0434\u0438\u043d\u0430\u043c\u0438\u043a\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 \u043c\u0435\u0442\u043e\u0434 \u0440\u0435\u0448\u0451\u0442\u043e\u0447\u043d\u044b\u0445 \u0443\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0439 \u0411\u043e\u043b\u044c\u0446\u043c\u0430\u043d\u0430 (LBM) \u0438 OpenCL. \u041f\u0440\u043e\u0435\u043a\u0442 \u043f\u043e\u0437\u0438\u0446\u0438\u043e\u043d\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u043a\u0430\u043a \u0432\u044b\u0441\u043e\u043a\u043e\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438 \u044d\u043a\u043e\u043d\u043e\u043c\u043d\u044b\u0439 \u043f\u043e \u043f\u0430\u043c\u044f\u0442\u0438 CFD-\u043f\u0430\u043a\u0435\u0442, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b\u0439 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u043d\u0430 GPU \u0438 CPU \u0440\u0430\u0437\u043d\u044b\u0445 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u0439 \u0447\u0435\u0440\u0435\u0437 OpenCL. \u0413\u043b\u0430\u0432\u043d\u044b\u043c \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0435\u043c \u0432\u0435\u0440\u0441\u0438\u0438 3.7 \u0441\u0442\u0430\u043b\u0430 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f \u044f\u0434\u0440\u0430 \u043e\u0442\u0440\u0438\u0441\u043e\u0432\u043a\u0438 \u0438\u0437\u043e\u043f\u043e\u0432\u0435\u0440\u0445\u043d\u043e\u0441\u0442\u0438 Q-\u043a\u0440\u0438\u0442\u0435\u0440\u0438\u044f (graphics_q()), \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u043e\u0439 \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0432\u0438\u0445\u0440\u0435\u0432\u044b\u0445 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440 \u0432 \u043f\u043e\u0442\u043e\u043a\u0435. \u0412 \u043f\u0440\u0435\u0436\u043d\u0435\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-181639","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.5 - aioseo.com -->\n\t<meta name=\"description\" content=\"FluidX3D 3.7 \u2013 \u043f\u0430\u043a\u0435\u0442 \u0434\u043b\u044f \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0433\u0438\u0434\u0440\u043e\u0434\u0438\u043d\u0430\u043c\u0438\u043a\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 \u043c\u0435\u0442\u043e\u0434 \u0440\u0435\u0448\u0451\u0442\u043e\u0447\u043d\u044b\u0445 \u0443\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0439 \u0411\u043e\u043b\u044c\u0446\u043c\u0430\u043d\u0430 (LBM) \u0438 OpenCL.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Erik Peterson\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/no\/blog\/news\/fluidx3d-v3-7\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.5\" \/>\n\t\t<meta property=\"og:locale\" content=\"nn_NO\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\ud83e\udd47FluidX3D v3.7 | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"FluidX3D 3.7 \u2013 \u043f\u0430\u043a\u0435\u0442 \u0434\u043b\u044f \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0433\u0438\u0434\u0440\u043e\u0434\u0438\u043d\u0430\u043c\u0438\u043a\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 \u043c\u0435\u0442\u043e\u0434 \u0440\u0435\u0448\u0451\u0442\u043e\u0447\u043d\u044b\u0445 \u0443\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0439 \u0411\u043e\u043b\u044c\u0446\u043c\u0430\u043d\u0430 (LBM) \u0438 OpenCL.\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/no\/blog\/news\/fluidx3d-v3-7\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2026-05-21T16:25:05+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2026-05-21T16:25:05+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd47FluidX3D v3.7 | ProHoster","description":"FluidX3D 3.7 er en pakke for numerisk hydrodynamikk, som bruker lattice Boltzmann metoden (LBM) og OpenCL.","canonical_url":"https:\/\/prohoster.info\/no\/blog\/news\/fluidx3d-v3-7","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"nn_NO","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47FluidX3D v3.7 | ProHoster","og:description":"FluidX3D 3.7 \u2013 \u043f\u0430\u043a\u0435\u0442 \u0434\u043b\u044f \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0433\u0438\u0434\u0440\u043e\u0434\u0438\u043d\u0430\u043c\u0438\u043a\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 \u043c\u0435\u0442\u043e\u0434 \u0440\u0435\u0448\u0451\u0442\u043e\u0447\u043d\u044b\u0445 \u0443\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0439 \u0411\u043e\u043b\u044c\u0446\u043c\u0430\u043d\u0430 (LBM) \u0438 OpenCL.","og:url":"https:\/\/prohoster.info\/no\/blog\/news\/fluidx3d-v3-7","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2026-05-21T16:25:05+00:00","article:modified_time":"2026-05-21T16:25:05+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":[],"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/posts\/181639","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/comments?post=181639"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/posts\/181639\/revisions"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/media?parent=181639"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/categories?post=181639"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/no\/wp-json\/wp\/v2\/tags?post=181639"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}