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

<\/p>\n

FluidX3D 3.7<\/a> – \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.<\/p>\n

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Ndryshimi kryesor n\u00eb versionin 3.7 ishte optimizimi i b\u00ebrtham\u00ebs p\u00ebr rendering t\u00eb izop\u00ebrfaqes s\u00eb kriterit Q (graphics_q()), e cila p\u00ebrdoret p\u00ebr visualizimin e strukturave vortex n\u00eb rrjedh\u00eb. N\u00eb implementimin e vjet\u00ebr, b\u00ebrthama ngarkonte nga memorja grafike nj\u00eb model t\u00eb r\u00ebnd\u00eb prej 32 shpejt\u00ebsish tre-dimensionale p\u00ebr \u00e7do qeliz\u00eb t\u00eb rrjetit. Tani, grupi i pun\u00ebs i rrjedhave me madh\u00ebsi 8\u00d78\u00d78 ngarkon nj\u00eb bllok prej 11\u00d711\u00d711 shpejt\u00ebsish n\u00eb 16 KB memorjeje lokale t\u00eb nivelit t\u00eb par\u00eb, pas s\u00eb cil\u00ebs rrjedhat fqinje rip\u00ebrdorin k\u00ebto t\u00eb dh\u00ebna. Sipas autorit, kjo redukton numrin e ngarkimeve nga VRAM rreth 12 her\u00eb \u2014 n\u00eb 2.6 shpejt\u00ebsi p\u00ebr qeli \u2014 dhe e kalon b\u00ebrtham\u00ebn nga nj\u00eb modalitet t\u00eb kufizuar nga kapaciteti i memories n\u00eb nj\u00eb modalitet t\u00eb kufizuar nga llogaritjet.<\/p>\n

Fitimi praktik varet nga pajisjet specifike. N\u00eb GPU t\u00eb reja me sistem t\u00eb zhvilluar t\u00eb cache, optimizimi manual i memories lokale mund t\u00eb mos sjell\u00eb pothuajse ndonj\u00eb rritje ose madje t\u00eb zvog\u00ebloj\u00eb pak sa frekuenc\u00ebn e kuadrove. N\u00eb nj\u00eb pjes\u00eb t\u00eb vjet\u00ebr t\u00eb GPU-ve, autori regjistroi p\u00ebrshpejtimin deri n\u00eb dy her\u00eb, \u00e7ka \u00ebsht\u00eb ve\u00e7an\u00ebrisht e dukshme n\u00eb modalitetin nd\u00ebraktiv grafik t\u00eb FluidX3D. P\u00ebr shembull, n\u00eb testet e publikuara, NVIDIA Titan Xp u p\u00ebrshpejtua nga 7 n\u00eb 13 kuadro\/s, Intel UHD 770 nga 8 n\u00eb 14 kuadro\/s n\u00eb nj\u00eb nga modalitetet, dhe Intel Arc A750 nga 22 n\u00eb 26 kuadro\/s.<\/p>\n

P\u00ebr GPU-t\u00eb e vjetra t\u00eb integruara, \u00ebsht\u00eb parashikuar nj\u00eb r\u00ebnien automatik n\u00eb implementimin e vjet\u00ebr: disa nga k\u00ebto pajisje nuk mb\u00ebshtesin grupet e pun\u00ebs me madh\u00ebsi 512 rrjedhsh ose kan\u00eb m\u00eb pak se 16 KB memorie lokale L1. N\u00eb k\u00ebto raste, FluidX3D do t\u00eb vazhdoj\u00eb t\u00eb p\u00ebrdor\u00eb versionin e vjet\u00ebr t\u00eb b\u00ebrtham\u00ebs, duke ruajtur kompatibilitetin.<\/p>\n

Po ashtu, n\u00eb k\u00ebt\u00eb version jan\u00eb simplifikuar kushtet p\u00ebr rendering VR, \u00ebsht\u00eb \u00e7aktivizuar shnd\u00ebrrimi i cikleve n\u00eb rasterizim p\u00ebr t\u00eb zvog\u00ebluar \u00abspageti\u00bb n\u00eb daljen e assemblerit, \u00ebsht\u00eb shtuar mikrooptimizimi n\u00eb convert_triangle\/_interpolated(), dhe n\u00eb adapterin OpenCL \u00ebsht\u00eb korrigjuar dalja e gabimit p\u00ebr emrin bosh t\u00eb b\u00ebrtham\u00ebs dhe madh\u00ebsin\u00eb e grupit t\u00eb pun\u00ebs.<\/p>\n

<\/p>\n

FluidX3D p\u00ebrfshin nj\u00eb renderer interaktiv 3D t\u00eb integruar, i cili lejon t\u00eb shihni fushat e shpejt\u00ebsis\u00eb, linjat e rrjedhjes, izoprafshet e Q-kriterit dhe prerjet direkt gjat\u00eb llogaritjes, pa pasur nevoj\u00eb p\u00ebr eksport n\u00eb nj\u00eb mjet t\u00eb ve\u00e7ant\u00eb t\u00eb pastrimit. FluidX3D<\/a> Projekti gjithashtu p\u00ebrfshin mb\u00ebshtetje p\u00ebr sip\u00ebrfaqe t\u00eb lira, konvekcioni termik, modelin e turbulenc\u00ebs Smagorinsky-Lilly, ndjekjen e grimcave, eksportin VTK dhe pun\u00ebn me shum\u00eb GPU.<\/p>\n

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

\u00cbsht\u00eb e r\u00ebnd\u00ebsishme t\u00eb theksohet statusi i licenc\u00ebs: kodi burimor i FluidX3D \u00ebsht\u00eb i hapur dhe i aksesuesh\u00ebm n\u00eb GitHub, megjithat\u00eb licenca e projektit<\/a> nuk \u00ebsht\u00eb e lir\u00eb n\u00eb kuptimin e ngusht\u00eb t\u00eb OSI\/FSF. Ajo lejon p\u00ebrdorimin p\u00ebr hulumtime publike, arsim dhe q\u00ebllime personale, por ndalon aplikimin komercial dhe ushtarak, si dhe trajnimin e modeleve t\u00eb IA-s mbi kodin burimor.<\/p>\n

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

Burimi: 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\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 \u00ebsht\u00eb nj\u00eb paket\u00eb p\u00ebr dinamiken e l\u00ebngjeve t\u00eb llogaritshme, e cila p\u00ebrdor metod\u00ebn e ekuacioneve t\u00eb rrjetit Boltzmann 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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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