{"id":123430,"date":"2025-04-06T09:05:14","date_gmt":"2025-04-06T07:05:14","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/nvidia-opublikovala-dvizhok-physx-5-6-0-i-otkryla-kod-flow-gpu"},"modified":"2025-04-06T09:05:14","modified_gmt":"2025-04-06T07:05:14","slug":"nvidia-opublikovala-dvizhok-physx-5-6-0-i-otkryla-kod-flow-gpu","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pl\/blog\/news\/nvidia-opublikovala-dvizhok-physx-5-6-0-i-otkryla-kod-flow-gpu","title":{"rendered":"NVIDIA opublikowa\u0142a silnik PhysX 5.6.0 i otworzy\u0142a kod Flow GPU","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Firma NVIDIA opublikowa\u0142a wydanie silnika symulacji proces\u00f3w fizycznych PhysX 5.6 oraz towarzysz\u0105cego mu zestawu narz\u0119dzi PhysX SDK. Jednocze\u015bnie dost\u0119pna jest nowa wersja biblioteki modelowania cieczy Flow 2.2.0. Kod projektu jest rozpowszechniany na licencji BSD-3 i wspiera platformy Linux, macOS, iOS, Windows oraz Android. <\/p>\n

Mimo \u017ce PhysX SDK od 2018 roku publikowany jest z kodem \u017ar\u00f3d\u0142owym na licencji BSD, dotychczas kod publikowany by\u0142 z jednym istotnym wyj\u0105tkiem \u2014 w sk\u0142ad nie wchodzi\u0142 kod j\u0105dra symulacji (kernel symulacji GPU). W aktualizacji SDK PhysX 5.6 firma NVIDIA otworzy\u0142a na licencji BSD ca\u0142y ten kod i w\u0142\u0105czy\u0142a go w sk\u0142ad SDK. Dost\u0119pnych jest ponad 500 gotowych rdzeni dla CUDA, oferuj\u0105cych funkcje takie jak dynamika cia\u0142 sta\u0142ych, symulacja cieczy i modelowanie deformacji obiekt\u00f3w. Ponadto, udost\u0119pniono Flow GPU z pe\u0142n\u0105 realizacj\u0105 shader\u00f3w obliczeniowych na GPU dla Flow SDK. <\/p>\n

PhysX jest jednym z najpopularniejszych silnik\u00f3w fizycznych, kt\u00f3ry jest u\u017cywany do przetwarzania interakcji fizycznych w niemal tysi\u0105cu gier i znajduje si\u0119 w wielu silnikach gier, w tym Unreal Engine, Unity3D, AnvilNext, Stingray, Dunia 2 oraz REDengine. Silnik jest skalowalny do r\u00f3\u017cnego sprz\u0119tu, od smartfon\u00f3w po pot\u0119\u017cne stacje robocze z wielordzeniowymi CPU i GPU, i pozwala wykorzysta\u0107 mo\u017cliwo\u015bci GPU do przyspieszania przetwarzania efekt\u00f3w. <\/p>\n

W\u015br\u00f3d obszar\u00f3w zastosowania PhysX wyr\u00f3\u017cnia si\u0119 realizacja takich efekt\u00f3w jak zniszczenia, eksplozje, realistyczne ruchy postaci i pojazd\u00f3w, wiruj\u0105cy dym, gi\u0119te przez wiatr drzewa, p\u0142yn\u0105ca i omijaj\u0105ca przeszkody woda, powiewaj\u0105ce i rw\u0105ce si\u0119 ubrania, kolizje oraz interakcje z cia\u0142ami sta\u0142ymi i mi\u0119kkimi. Opr\u00f3cz tworzenia gier silnik mo\u017ce by\u0107 r\u00f3wnie\u017c wykorzystywany w takich obszarach jak syntez danych do bada\u0144 w dziedzinie sztucznej inteligencji i do treningu sieci neuronowych, tworzenie realistycznych \u015brodowisk do treningu robot\u00f3w, symulacja realnych warunk\u00f3w podczas testowania pojazd\u00f3w autonomicznych i autopilot\u00f3w. <\/p>\n

\n
\u0179r\u00f3d\u0142o: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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