{"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\/hu\/blog\/news\/fluidx3d-v3-7","title":{"rendered":"FluidX3D v3.7","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

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FluidX3D 3.7<\/a> \u2013 csomag a sz\u00e1m\u00edt\u00e1stechnikai hidrodinamik\u00e1hoz, amely a Boltzmann-h\u00e1l\u00f3zati egyenletek (LBM) m\u00f3dszer\u00e9t \u00e9s az OpenCL-t haszn\u00e1lja. A projektet nagy teljes\u00edtm\u00e9ny\u0171 \u00e9s mem\u00f3riahat\u00e9kony CFD-csomagk\u00e9nt pozicion\u00e1lj\u00e1k, amely k\u00e9pes m\u0171k\u00f6dni k\u00fcl\u00f6nb\u00f6z\u0151 gy\u00e1rt\u00f3k GPU-ival \u00e9s CPU-ival az OpenCL-en kereszt\u00fcl.<\/p>\n

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A 3.7-es verzi\u00f3 f\u0151 v\u00e1ltoz\u00e1sa a Q-krit\u00e9rium izo-fel\u00fclet\u00e9nek (graphics_q()) renderel\u0151 magj\u00e1nak optimaliz\u00e1l\u00e1sa, amelyet a vortic\u00e1lis strukt\u00far\u00e1k \u00e1br\u00e1zol\u00e1s\u00e1ra haszn\u00e1lnak az \u00e1raml\u00e1sban. A kor\u00e1bbi megval\u00f3s\u00edt\u00e1sban a mag neh\u00e9z, 32 h\u00e1romdimenzi\u00f3s sebess\u00e9gi sablonokb\u00f3l \u00e1ll\u00f3 mint\u00e1t t\u00f6lt\u00f6tt be a videomem\u00f3ri\u00e1b\u00f3l minden h\u00e1l\u00f3sejthez. Most egy 8\u00d78\u00d78 m\u00e9ret\u0171 munkacsoport 16 KB szint\u0171 lok\u00e1lis mem\u00f3ri\u00e1ban egy 11\u00d711\u00d711 sebess\u00e9gi blokkot t\u00f6lt be, amelyet a szomsz\u00e9dos sz\u00e1lak \u00fajrahaszn\u00e1lhatnak. Az \u00edr\u00f3 becsl\u00e9se szerint ez a VRAM-b\u00f3l t\u00f6rt\u00e9n\u0151 bet\u00f6lt\u00e9sek sz\u00e1m\u00e1t k\u00f6r\u00fclbel\u00fcl 12-szer cs\u00f6kkenti \u2013 2,6 sebess\u00e9gsejtre \u2013 \u00e9s a magot a mem\u00f3ria-\u00e1tviteli sebess\u00e9g korl\u00e1tait\u00f3l a sz\u00e1m\u00edt\u00e1si korl\u00e1tok ir\u00e1ny\u00e1ba tereli.<\/p>\n

A gyakorlati nyeres\u00e9g a konkr\u00e9t berendez\u00e9st\u0151l f\u00fcgg. Az \u00faj GPU-kkal, amelyek fejlett gyors\u00edt\u00f3t\u00e1raz\u00e1ssal rendelkeznek, a helyi mem\u00f3ria k\u00e9zi optimaliz\u00e1l\u00e1sa szinte nem ad teljes\u00edtm\u00e9nyn\u00f6veked\u00e9st, s\u0151t, n\u00e9ha cs\u00f6kkentheti a k\u00e9pkockasebess\u00e9get. N\u00e9h\u00e1ny r\u00e9gi GPU-n az \u00edr\u00f3 ak\u00e1r k\u00e9tszeres gyorsul\u00e1st is \u00e9szlelt, ami k\u00fcl\u00f6n\u00f6sen \u00e9szlelhet\u0151 a FluidX3D interakt\u00edv grafikus m\u00f3dj\u00e1ban. P\u00e9ld\u00e1ul a publik\u00e1lt tesztekben az NVIDIA Titan Xp 7-r\u0151l 13 k\u00e9pkock\u00e1ra\/s gyorsult, az Intel UHD 770 pedig 8-r\u00f3l 14 k\u00e9pkock\u00e1ra\/s gyorsult egyik m\u00f3dban, m\u00edg az Intel Arc A750 22-r\u0151l 26 k\u00e9pkock\u00e1ra\/s-ig terjedt.<\/p>\n

R\u00e9gi integr\u00e1lt GPU-k sz\u00e1m\u00e1ra automatikus visszag\u00f6rget\u00e9s van biztos\u00edtva a kor\u00e1bbi megval\u00f3s\u00edt\u00e1sra: az ilyen eszk\u00f6z\u00f6k egy r\u00e9sze nem t\u00e1mogatja az 512 sz\u00e1las munkacsoportokat, vagy kevesebb mint 16 KB L1 lok\u00e1lis mem\u00f3ri\u00e1val rendelkezik. Ezekben az esetekben a FluidX3D tov\u00e1bbra is az r\u00e9gi magv\u00e1ltozatot haszn\u00e1lja a kompatibilit\u00e1s meg\u0151rz\u00e9se \u00e9rdek\u00e9ben.<\/p>\n

Ebben a verzi\u00f3ban a VR-renderel\u00e9s felt\u00e9telei is egyszer\u0171s\u00f6dtek, le lett tiltva a ciklusok kicsomagol\u00e1sa a raszteriz\u00e1l\u00e1s sor\u00e1n, hogy cs\u00f6kkents\u00fck az \"spagetti\" megjelen\u00edt\u00e9st az assembler kimenetben, tov\u00e1bbi mikrooptimaliz\u00e1l\u00e1sokat adtak hozz\u00e1 a convert_triangle\/_interpolated() f\u00fcggv\u00e9nyhez, valamint az OpenCL adapterben jav\u00edtott\u00e1k az \u00fcres magn\u00e9v \u00e9s munkacsoport m\u00e9ret\u00e9nek hibajelz\u00e9s\u00e9t.<\/p>\n

<\/p>\n

A FluidX3D be\u00e9p\u00edtett interakt\u00edv 3D-renderel\u0151je lehet\u0151v\u00e9 teszi a sebess\u00e9gi mez\u0151k, \u00e1raml\u00e1si vonalak, Q-krit\u00e9rium izopov\u00e1rsurfacek \u00e9s szeletek megtekint\u00e9s\u00e9t k\u00f6zvetlen\u00fcl a sz\u00e1m\u00edt\u00e1s sor\u00e1n, an\u00e9lk\u00fcl, hogy k\u00f6telez\u0151 lenne a k\u00fcl\u00f6n posztfeldolgoz\u00f3 eszk\u00f6zbe t\u00f6rt\u00e9n\u0151 export\u00e1l\u00e1s. FluidX3D<\/a> A projektben a szabad felsz\u00ednek, h\u0151konvekci\u00f3, Smagorinsky-Lilly turbulencia-modellek, r\u00e9szecskek\u00f6vet\u00e9s, VTK export\u00e1l\u00e1s \u00e9s t\u00f6bb GPU haszn\u00e1lat\u00e1nak t\u00e1mogat\u00e1sa is be van jelentve.<\/p>\n

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\n<\/p>\n

\u00c9rdemes megeml\u00edteni a licenc st\u00e1tusz\u00e1t: a FluidX3D forr\u00e1sk\u00f3dja ny\u00edlt \u00e9s el\u00e9rhet\u0151 a GitHubon, azonban a projekt licenc\u00e1ja<\/a> nem tekinthet\u0151 szabadnak az OSI\/FSF szigor\u00fa \u00e9rtelm\u00e9ben. Nyilv\u00e1nos kutat\u00e1sokhoz, oktat\u00e1shoz \u00e9s szem\u00e9lyes c\u00e9lokra enged\u00e9lyezi a haszn\u00e1latot, de megtiltja a kereskedelmi \u00e9s katonai alkalmaz\u00e1st, valamint az AI-modellek tanulm\u00e1nyoz\u00e1s\u00e1t a forr\u00e1sk\u00f3don.<\/p>\n

<\/noindex><\/p>\n

Forr\u00e1s: linux.org.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

FluidX3D 3.7 – \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 […]<\/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\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47FluidX3D v3.7 | ProHoster","description":"A FluidX3D 3.7 a numerikus hidrodinamika csomagja, amely a Boltzmann-\u00f6sszef\u00fcgg\u00e9s r\u00e1csos m\u00f3dszer\u00e9t (LBM) \u00e9s az OpenCL-t 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\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\/hu\/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\/hu\/wp-json\/wp\/v2\/posts\/181639","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/comments?post=181639"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts\/181639\/revisions"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/media?parent=181639"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/categories?post=181639"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/tags?post=181639"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}