Jagorar Fasaha

CUDA da GPU Programming

CUDA shine dandalin NVIDIA don rubuta shirye-shiryen da ke gudana akan GPUs, yana buɗe dubban maɗaukaki don lissafin layi ɗaya.

Dubawa

CUDA shine dandalin NVIDIA don rubuta shirye-shiryen da ke gudana akan GPUs, yana buɗe dubban maɗaukaki don lissafin layi ɗaya. Tushen software ne ya mayar da GPUs zuwa injin AI na zamani.

CUDA da Shirye-shiryen GPU wani shingen ginin fasaha ne wanda ke shafar ingancin samfurin, farashin kayayyakin more rayuwa, latency, da aminci a sikeli.

Zurfafa nutsewa

CUDA (Compute Unified Device Architecture) yana ba masu haɓaka damar rubuta lambar da ke gudana kai tsaye akan NVIDIA GPUs maimakon CPU kawai. Samfurin shirye-shiryen ya ta'allaka ne akan 'kwaya' - aikin da aka aiwatar a lokaci guda ta dubunnan zaren nauyi, wanda aka tsara cikin tubalan da grids. Saboda GPUs SIMT ne (Umarori ɗaya, Matsaloli da yawa), duk zaren da ke cikin rukuni suna gudanar da koyarwa iri ɗaya akan bayanai daban-daban, wanda ya dace don matrix da lissafi. Yawancin masu aikin AI ba su taɓa rubuta ɗanyen CUDA ba; maimakon haka, tsarin tsarin kamar PyTorch da TensorFlow suna kiran ingantattun ɗakunan karatu na CUDA - cuDNN don ayyukan net ɗin neural da cuBLAS don algebra na layi - ƙarƙashin hular. Wannan wadataccen tarin software balagagge shine mafi girman gasa na NVIDIA: koda lokacin da kwakwalwan kwamfuta masu fafatawa suke da sauri, daidaita yanayin yanayin CUDA yana da wahala sosai.

Fahimtar Fasaha

A cikin CUDA kuna ƙaddamar da kwaya a kan grid na tubalan zaren; kowane zaren yana lissafta yanki ɗaya na abin da aka fitar, wanda aka gano ta hanyar toshewar sa da maƙallan zaren sa. Aiki yana rataye akan tsarin ƙwaƙwalwar ajiya: saurin kan-chip 'shaɗin ƙwaƙwalwar ajiya' tare da saurin ƙwaƙwalwar ajiya na duniya, da samun damar ''haɗe'' inda zaren gefen ke karanta adiresoshin kusa. Gujewa rarrabuwar kawuna - inda zaren a cikin zaren 'warp' mai lamba 32 ke ɗaukar rassa daban-daban kuma dole ne a jera su - shima mabuɗin ne don ci gaba da shagaltar da abubuwan GPU.

Jagorar CUDA da GPU Programming

CUDA shine dandalin NVIDIA don rubuta shirye-shiryen da ke gudana akan GPUs, yana buɗe dubban maɗaukaki don lissafin layi ɗaya. Tushen software ne ya mayar da GPUs zuwa injin AI na zamani. CUDA da Shirye-shiryen GPU wani shingen ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikeli. Don gina zurfin fahimta, bi CUDA da GPU Programming a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, bayyana zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu yana buƙatar yanke hukunci na ƙwararru.

A aikace, ƙungiyoyi masu ƙarfi da ke amfani da CUDA da Shirye-shiryen GPU suna haɓaka gine-gine, bayanai, da zaɓin abubuwan more rayuwa akan dogaro da farashi. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.

Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A lokaci guda, Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.

Dabarun Tasiri

Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.

Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.

Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.

Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Makomar CUDA da Shirye-shiryen GPU

CUDA za ta ci gaba da kasancewa mai rinjaye a cikin AI har tsawon shekaru godiya ga kullewar yanayin yanayin, amma matsin lamba yana haɓaka. Buɗe hanyoyin kamar OpenAI's Triton ya bar masu haɓakawa su rubuta kernels GPU a cikin Python, da ƙoƙarin ƙetare (OpenCL, AMD's ROCm, SYCL) suna nufin karya rikon NVIDIA. Ƙarawa, manyan masu tarawa ta atomatik suna haifar da ingantaccen lambar GPU, don haka ƙarancin injiniyoyi suna rubuta kwaya da hannu. Halin yana zuwa ga matakin abstractions mafi girma yayin da CUDA ta tsaya tsayin daka na aikin kowa ya kwatanta.

Aiwatar da Gaskiyar Duniya

PyTorch yana gudanar da ayyukan tensor ta atomatik akan GPU ta CUDA lokacin da kuka kira .to('cuda')

cuDNN yana samar da aiwatar da CUDA da aka gyara da hannu na juzu'ai waɗanda ke hanzarta horar da ƙirar hoto

Injiniya yana rubuta kwaya ta CUDA ta al'ada don haɓaka kwaikwaiyon kimiyya na musamman

OpenAI's Triton yana barin masu bincike su rubuta ingantattun kwayayen GPU a cikin Python maimakon CUDA C mai ƙaramin ƙarfi.

Hanyoyin Aiwatarwa

CUDA da GPU Programming a aikace

PyTorch yana gudanar da ayyukan tensor ta atomatik akan GPU ta CUDA lokacin da kuka kira .to('cuda').

PyTorch yana gudanar da ayyukan tensor ta atomatik akan GPU ta CUDA lokacin da kuka kira .to ('cuda') Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da kuma bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.

CUDA da GPU Programming a aikace

cuDNN yana samar da aiwatar da CUDA da aka gyara da hannu na juzu'ai waɗanda ke hanzarta horar da ƙirar hoto.

cuDNN yana ba da aiwatar da CUDA da aka daidaita ta hannu na jujjuyawar da ke hanzarta samfuran hoto Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'i, da bin diddigin nasarorin samarwa da farashi na kuskure akan lokaci.

CUDA da GPU Programming a aikace

Injiniya yana rubuta kwaya ta CUDA ta al'ada don haɓaka kwaikwaiyon kimiyya na musamman.

Injiniyan da ke rubuta kwaya ta CUDA ta al'ada don haɓaka ƙwararrun kwaikwaiyon kimiyya Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.

CUDA da GPU Programming a aikace

OpenAI's Triton yana barin masu bincike su rubuta ingantattun kwayayen GPU a cikin Python maimakon CUDA C.

OpenAI's Triton yana barin masu bincike su rubuta ingantaccen kwaya na GPU a cikin Python maimakon ƙananan CUDA C Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin abubuwan da ake samu da kuma kashe kuɗi na lokaci.

Hatsari & Tsare-tsare

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Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.

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Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.

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Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.

Taswirar Hanya

1

Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.

Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

2

Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.

Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

3

Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.

Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

4

Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.

Shirya bijirowa da hanyoyin mayar da martani kafin sikeli. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

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