{"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\/sl\/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; paket za ra\u010dunarsku hidrodinamiku, koji koristi metodu latica Boltzmannovih jednad\u017ebi (LBM) i OpenCL. Projekt se pozicionira kao visokoperformantni i ekonomi\u010dan CFD paket, sposoban za rad na GPU i CPU razli\u010ditih proizvo\u0111a\u010da putem OpenCL.<\/p>\n<p><\/noindex><\/noindex><\/p>\n<p>Glavna promjena verzije 3.7 je optimizacija jezgre za prikaz izopovr\u0161ine Q-kriterija (graphics_q()), koja se koristi za vizualizaciju vortex struktura u toku. U prethodnoj verziji jezgra je u\u010ditavala te\u0161ki \u0161ablon od 32 trodimenzionalne brzine za svaku \u0107eliju mre\u017ee iz video memorije. Sada radna grupa niti veli\u010dine 8\u00d78\u00d78 u\u010ditava blok 11\u00d711\u00d711 brzina u 16 KB lokalne memorije prvog nivoa, nakon \u010dega susjedne niti ponovo koriste te podatke. Prema procjeni autora, to smanjuje broj u\u010ditavanja iz VRAM-a otprilike 12 puta \u2014 do 2,6 brzina po \u0107eliji \u2014 i prebacuje jezgru iz re\u017eima ograni\u010denog propusno\u0161\u0107u memorije u re\u017eim ograni\u010denih izra\u010dunavanja.<\/p>\n<p>Prakti\u010dna dobit ovisi o konkretnom hardveru. Na novim GPU-ima s razvijenim sistemom ke\u0161iranja, ru\u010dna optimizacija lokalne memorije mo\u017eda ne\u0107e donijeti zna\u010dajne dobitke ili \u010dak malo smanjiti broj sli\u010dica u sekundi. Na nekim starijim GPU-ima autor je primijetio ubrzanje do dva puta, \u0161to je posebno izra\u017eeno u interaktivnom grafi\u010dkom re\u017eimu FluidX3D. Na primjer, u objavljenim testovima NVIDIA Titan Xp ubrzala je s 7 na 13 sli\u010dica\/s, Intel UHD 770 \u2014 s 8 na 14 sli\u010dica\/s u jednom od re\u017eima, dok je Intel Arc A750 \u2014 s 22 na 26 sli\u010dica\/s.<\/p>\n<p>Za starije ugra\u0111ene GPU-e predvi\u0111en je automatski povratak na prethodnu implementaciju: dio takvih ure\u0111aja ne podr\u017eava radne grupe veli\u010dine 512 niti ili ima manje od 16 KB lokalne memorije L1. U tim slu\u010dajevima FluidX3D \u0107e nastaviti koristiti staru verziju jezgre, zadr\u017eavaju\u0107i kompatibilnost.<\/p>\n<p>Tako\u0111er su u ovoj verziji pojednostavljeni uvjeti za VR-renderiranje, isklju\u010deno je razvijanje petlji u rasterizaciji kako bi se smanjila \"\u0161pageti\" u assembler ispisu, dodana je mikroop\u0442\u0438\u043cizacija u convert_triangle\/_interpolated(), a u OpenCL adapteru ispravljen je ispis gre\u0161ke prilikom praznog imena jezgre i veli\u010dine radne grupe.<\/p>\n<p><noindex><\/p>\n<p>FluidX3D vklju\u010duje vgrajeni interaktivni 3D-render, ki omogo\u010da ogled polj hitrosti, tokovnih linij, izopovr\u0161in Q-kriterija in rezov neposredno med izra\u010dunom, brez potrebe po izvozu v lo\u010deno orodje za obdelavo. <a rel=\"nofollow\" href=\"https:\/\/fluidx3d.com\/\">FluidX3D<\/a> V projektu je prav tako napovedana podpora za prostorske povr\u0161ine, toplotno konvekcijo, modele turbulence Smagorinsky-Lilly, sledenje delcem, izvoz VTK in delo z ve\u010d GPU-ji.<\/p>\n<p><\/noindex><br \/>\n<noindex><\/p>\n<p>Posebej je treba omeniti licen\u010dni status: izvorna koda FluidX3D je odprta in dostopna na GitHubu, vendar <a rel=\"nofollow\" href=\"https:\/\/github.com\/ProjectPhysX\/FluidX3D\/blob\/master\/LICENSE.md\">licenca projekta<\/a> ni prosta v strogem smislu OSI\/FSF. Dovoli uporabo za javne raziskave, izobra\u017eevanje in osebne namene, a prepoveduje komercialno in voja\u0161ko uporabo ter usposabljanje modelov umetne inteligence na izvorni kodi.<\/p>\n<p><\/noindex><\/p>\n<p>Izvor: <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 5.0.4 - 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 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