Async/Await kan GPU kan

\u003ch2\u003eAsync/A jira GPU kan\u003c/h2\u003e \u003cp\u003eNin barokun bɛ hakilina nafamaw ni kunnafoniw di a barokun kan, ka dɛmɛ don dɔnniya tilali ni faamuyali la.\u003c/p\u003e \u003ch3\u003eTakeaways kunbabaw\u003c/h3\u003e \u003cp\u003eKalanbagaw bɛ se ka jigi ka tɔnɔ sɔrɔ:\u003c/p\u003e \u003cul\u003e \u003cli\u003eKunnafoni faamuyali kuncɛlen\u003c/li\u003e \u003cli\u003eBaarakɛcogo waleyali ani diɲɛ kɔnɔko lakika\u003c/li\u003e \u003cli\u003eDɔnnikɛlaw ka miiriyaw ni u sɛgɛsɛgɛli\u003c/li\u003e \u003cli\u003eKunnafoni kura donna sisan kow kan\u003c/li\u003e \u003c/ul\u003e \u003ch3\u003eNafa jiracogo\u003c/h3\u003e \u003cp\u003eKɔnɔkow ɲuman i n'a fɔ nin bɛ dɛmɛ don ka dɔnniya sabati ani ka kunnafonidi latigɛw yiriwa dakun suguya caman na.\u003c/p\u003e

Ɲininkali minnu bɛ kɛ tuma caman na

async/await ye mun ye ani a bɛ tali kɛ GPU porogaramuw la cogo di ?

Async/await ye porogaramu kɛcogo ye min bɛ sira di waleyali ma min tɛ bali — i ka kode bɛ se ka jɔ ka sɔrɔ makɔnɔni kɛ k’a sɔrɔ a ma jirisun bɛɛ lajɛlen bila. GPU kan, o hakilina in bɛ karti ka baarabolodalen ba caman ɲɛnabɔ minnu tɛ dafa waati kelen na. GPU API bi bi in na i n’a fɔ WebGPU ani CUDA bɛ primitives asynchrones jira kɛnɛ kan, k’a to baarakɛlaw ka baarakɛcogo bila layini na ani k’u dafalen makɔnɔ k’a sɔrɔ u ma CPU jɔ, o bɛ na ni pipeline baarakɛcogo ɲuman ye kosɛbɛ.

mun na asynchrone execution nafa ka bon kɛrɛnkɛrɛnnenya la GPU baarakɛcogo la ?

GPUw bɛ kunnafoni camanba baara ɲɔgɔn fɛ, wa CPU ni GPU cɛ bɛnkan ye baarakɛcogo gɛlɛya dɔ ye min ka ca kosɛbɛ. CPU wajibiya ka makɔnɔni kɛ ɲɔgɔn fɛ GPU baara bɛɛ la, o bɛ cycles nafamaw tiɲɛ. Asynchrone patterns bɛ processeur fila bɛɛ bila ka baara kɛ ɲɔgɔn fɛ — CPU bɛ baara bila ka taa ɲɛ, ka jaabiw lajɛ dɔrɔn n’u labɛnnen don. O ɲɔgɔndan in nafa ka bon kosɛbɛ waati yɛrɛyɛrɛ jirali la, masin kalanni inference, ani jatebɔ-gɛlɛn baarakɛcogo la.

yala daminɛbagaw bɛ se ka GPU async misaliw dege ni sitɛmu porogaramu dɔnniya jugu tɛ wa ?

Ɔwɔ — baarakɛminɛn sanfɛtaw ye GPU async misaliw kɛ fɛn ye min bɛ se ka gɛrɛ kosɛbɛ. Frameworks i n’a fɔ WebGPU bɛ synchronisation low-level abstrait layidu-da- APIw kɔfɛ minnu bɛ dɔn JavaScript dilannikɛlaw fɛ. N’i bɛ AI-powered walima compute-heavy applications jɔ ani n’i b’a fɛ ka bilasiralikan sigilen sɔrɔ, platforms i n’a fɔ Mewayz bɛ module 207 ni kɔ di minnu bɛ bi yiriwali cogoyaw ɲɛfɔ — o bɛɛ bɛ kɛ $19/kalo — o b’a to a bɛ se ka kɛ ka barokun kɔrɔw dege i n’a fɔ GPU concurrency ka fara don o don full-stack sekow kan.

jaan jumɛnw ka teli ka sɔrɔ ni baara kɛra ni async/await ye ni GPU baarakɛcogo ye ?

Fili minnu ka teli ka kɛ, olu ye makɔnɔni tɛmɛnen ye — ka sinsin yɔrɔw don minnu tɛ mako ɲɛ minnu bɛ baara kɛ ɲɔgɔn kɔ minnu bɛ se ka boli ɲɔgɔn fɛ — ani makɔnɔni dɔgɔyali, o min bɛ kɛ sababu ye ka siya cogoyaw sɔrɔ walima ka buffer data kɔrɔlenw kalan. Hakilila-jɔ-cogo ye jaan wɛrɛ ye: GPU buffers ka kan ka to baara la fo async baarakɛcogo ka ban. I ka API sugandilen (WebGPU, CUDA, Metal) waleyali misali faamuyali nafa ka bon. Profiling baarakɛminɛnw nafa ka bon yan, bawo baarakɛcogo koɲɛw async GPU code kɔnɔ, olu man teli ka ye ka bɔ source dɔrɔn na.

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