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

<\/p>\n

FluidX3D 3.7<\/a> – pakett arvutuslikuks h\u00fcdrod\u00fcnaamikaks, mis kasutab Boltzmanni v\u00f5rrandite v\u00f5rkp\u00f5hiseid meetodeid (LBM) ja OpenCL-i. Projekt positsioneerib end kui k\u00f5rge j\u00f5udlusega ja m\u00e4lu s\u00e4\u00e4stlik CFD-pakett, mis suudab t\u00f6\u00f6tada erinevate tootjate GPU-de ja CPU-dega l\u00e4bi OpenCL-i.<\/p>\n

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Versiooni 3.7 peamine muudatus oli Q-kriteeriumi isopindade joonistamise tuuma optimeerimine (graphics_q()), mida kasutatakse voolu keerisstruktuuride visualiseerimiseks. Varasemal rakendusel laadis tuum videom\u00e4lust 32 kolmem\u00f5\u00f5tmelise kiirusmalli iga ruudustiku rakenduse jaoks. N\u00fc\u00fcd laadib 8\u00d78\u00d78 l\u00f5ime t\u00f6\u00f6tav r\u00fchm 16 KB esimest taseme lokaalset m\u00e4lu, 11\u00d711\u00d711 kiirusest ploki, mille j\u00e4rel naaberliinid kordavad neid andmeid. Autori hinnangul v\u00e4hendab see VRAM-i laadimiste arvu umbes 12 korda \u2014 2,6 kiiruseni rakenduse kohta \u2014 ja viib tuuma m\u00e4lu l\u00e4bilaskev\u00f5imsusega piiratud re\u017eiimist arvutustega piiratud re\u017eiimi.<\/p>\n

Praktiline kasu s\u00f5ltub konkreetsest riistvarast. Uute GPU-dega, millel on arenenud vahem\u00e4lu s\u00fcsteem, v\u00f5ib kohaliku m\u00e4lut\u00f6\u00f6tluse k\u00e4sitsi optimeerimine anda peaaegu nulli kasu v\u00f5i isegi v\u00e4hendada kaadrisagedust. Osadel vanematel GPU-del on autor t\u00e4heldanud kahekordset kiiruskasvu, mis on eriti m\u00e4rgatav interaktiivses graafilises re\u017eiimis FluidX3D. N\u00e4iteks avaldatud testides kiirus suurenes NVIDIA Titan Xp puhul 7 kaadrist\/s 13 kaadrini\/s, Intel UHD 770 puhul 8 kaadrist\/s 14 kaadrini\/s \u00fches re\u017eiimis ja Intel Arc A750 puhul 22 kaadrist\/s 26 kaadrini\/s.<\/p>\n

Vanade sisseehitatud GPU-de puhul on automaatne tagasivalik eelneva versiooni kasutamiseks: osa neist seadmetest ei toeta 512 l\u00f5ime suuruseid gruppe v\u00f5i omavad v\u00e4hem kui 16 KB L1 lokaalm\u00e4lu. Nendes olukordades j\u00e4tkab FluidX3D vana s\u00fcdamiku variandi kasutamist, s\u00e4ilitades \u00fchilduvuse.<\/p>\n

Samas versioonis on ka VR-renderdamise tingimused lihtsustatud, ts\u00fcklite avamine rasterdamises on keelatud, et v\u00e4hendada 'spagetti' assembleri v\u00e4ljundis, v\u00e4hendatud on mikrooptimeerimist funktsioonis convert_triangle\/_interpolated(), ning OpenCL-adapteris on parandatud veateade t\u00fchja s\u00fcdamiku nime ja t\u00f6\u00f6grupi suuruse puhul.<\/p>\n

<\/p>\n

FluidX3D sisaldab sisseehitatud interaktiivset 3D-renderda, mis v\u00f5imaldab vaadata kiirusv\u00e4lju, vooluahelikke, Q-kriteeriumi isopindasid ja l\u00f5ikeid otse arvutuse ajal, ilma et oleks vaja eksportida eraldi t\u00f6\u00f6tlustootesse. FluidX3D<\/a> Projektis on samuti kuulutatud toetust vabadele pindadele, soojus\u00fclekandele, Smagorinsky-Lilly turbulentsimudelitele, osakeste j\u00e4lgimisele, VTK eksportimisele ja mitme GPU kasutamisele.<\/p>\n

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

Eraldi tasub m\u00e4rkida litsentsi staatust: FluidX3D l\u00e4htekood on avatud ja saadaval GitHubis, kuid projekti litsents<\/a> ei ole OSI\/FSF range t\u00e4henduses tasuta. See lubab kasutamist avalikeks teadusuuringuteks, hariduseks ja isiklike eesm\u00e4rkide jaoks, kuid keelab kaubanduslikud ja s\u00f5jalised rakendused, samuti tehisintellekti mudelite koolitamise l\u00e4htekoodil.<\/p>\n

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

Allikas: 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-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\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\n","aioseo_head_json":{"title":"\ud83e\udd47FluidX3D v3.7 | ProHoster","description":"FluidX3D 3.7 \u2013 h\u00fcdrod\u00fcnaamiline arvutuspakett, mis kasutab Boltzmanni v\u00f5rguv\u00f5rrandite meetodit (LBM) ja OpenCL-i. Projekt on positsioneeritud kui k\u00f5rge j\u00f5udlusega ja m\u00e4lu kasutuselt \u00f6konoomne CFD-pakett, mis suudab t\u00f6\u00f6tada erinevate tootjate GPU-d ja CPU-d kaudu OpenCL-i. Versiooni 3.7 peamine uuendus on isopindade Q-kriteeriumi (graphics_q()) joonistamise tuuma optimeerimine, mida kasutatakse voolu vortex-struktuuride visualiseerimiseks. 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