{"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\/da\/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 pakke til beregningsm\u00e6ssig hydrodynamik, der anvender metoden med latiske Boltzmann-ligninger (LBM) og OpenCL. Projektet er positioneret som en h\u00f8jtydende og hukommelseseffektiv CFD-pakke, der kan k\u00f8re p\u00e5 GPU og CPU fra forskellige producenter via OpenCL.<\/p>\n

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Den prim\u00e6re \u00e6ndring i version 3.7 er optimeringen af kernevisualisering af isopoverflade Q-kriteriet (graphics_q()), der bruges til visualisering af virvler i str\u00f8mmen. I den tidligere implementering indl\u00e6ste kernen et tungt m\u00f8nster af 32 tredimensionelle hastigheder fra videohukommelsen for hver gittercelle. Nu indl\u00e6ser en arbejdsgroup med tr\u00e5de i st\u00f8rrelsen 8\u00d78\u00d78 en blok af 11\u00d711\u00d711 hastigheder i 16 KB lokal f\u00f8rste-lags hukommelse, hvorefter n\u00e6rliggende tr\u00e5de genbruger disse data. If\u00f8lge forfatterens vurdering reducerer dette antallet af indl\u00e6sninger fra VRAM med cirka 12 gange \u2014 til 2,6 hastigheder pr. celle \u2014 og flytter kernen fra en hukommelsesh\u00e5ndteringsbegr\u00e6nset tilstand til en beregningsbegr\u00e6nset tilstand.<\/p>\n

Den praktiske gevinst afh\u00e6nger af det konkrete udstyr. P\u00e5 nye GPU'er med et veludviklet cachesystem kan manuel optimering af lokal hukommelse n\u00e6sten ikke give nogen forbedring eller endda lidt s\u00e6nke billedhastigheden. P\u00e5 nogle \u00e6ldre GPU'er har forfatteren registreret hastighedsfor\u00f8gelse p\u00e5 op til det dobbelte, hvilket is\u00e6r er m\u00e6rkbar i det interaktive grafiske regime af FluidX3D. For eksempel, i publicerede tests, accelererede NVIDIA Titan Xp fra 7 til 13 billeder\/s, Intel UHD 770 fra 8 til 14 billeder\/s i en af tilstandene, mens Intel Arc A750 gik fra 22 til 26 billeder\/s.<\/p>\n

For \u00e6ldre integrerede GPU'er er der indf\u00f8rt automatisk tilbagefald til den gamle implementering: nogle enheder underst\u00f8tter ikke arbejdsgrupper med 512 tr\u00e5de eller har mindre end 16 KB lokal hukommelse L1. I disse tilf\u00e6lde vil FluidX3D forts\u00e6tte med at bruge den gamle kerneversion for at bevare kompatibiliteten.<\/p>\n

Desuden er betingelserne for VR-visualisering forenklet i denne version, cykeldrejningen ved rasterisering er deaktiveret for at reducere \"spaghetti\" i assemblerudgangen, der er tilf\u00f8jet mikrooptimering i convert_triangle\/_interpolated(), og i OpenCL-adapteren er fejludgangen ved tomt kerne navn og st\u00f8rrelse af arbejdsgruppe rettet.<\/p>\n

<\/p>\n

FluidX3D inkluderer en indbygget interaktiv 3D-renderer, der g\u00f8r det muligt at visualisere hastighedsfelter, str\u00f8mlinjer, isopoverflader for Q-kriteriet og snit direkte under beregningen, uden behov for eksport til et separat efterbehandlingsv\u00e6rkt\u00f8j. FluidX3D<\/a> Projektet har ogs\u00e5 angivet st\u00f8tte til fri overflade, termisk konvektion, Smagorinsky-Lilly turbulensmodeller, partikelsporing, VTK-eksport og muligheden for at arbejde med flere GPU'er.<\/p>\n

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\n<\/p>\n

Det er v\u00e6rd at bem\u00e6rke licensstatussen: Kildekoden til FluidX3D er \u00e5ben og tilg\u00e6ngelig p\u00e5 GitHub, men projektets licens<\/a> er ikke fri i den strenge mening fra OSI\/FSF. Den tillader brug til offentlige unders\u00f8gelser, uddannelse og private form\u00e5l, men forbyder kommerciel og milit\u00e6r anvendelse samt tr\u00e6ning af AI-modeller p\u00e5 kildekoden.<\/p>\n

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Kilde: 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":"FluidX3D 3.7 er et program til beregningsm\u00e6ssig hydrodynamik, der bruger metoden for gitterligningerne for Boltzmann (LBM) og 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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 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