CUDA ak prograam GPU
CUDA mooy platformu NVIDIA ngir bind ay prograam yuy daw ci GPU yi, di ubbi ay junni core ngir ordinatër paralel.
Résumé
It is the software foundation that turned GPUs into the engine of modern AI.
Plongeur bu xóot
CUDA (Architecture de l'appareil unifié) dafay may developpeur yi ñu bind kode buy daw ci GPU NVIDIA yi, du ci CPU bi kese. Modèlu prograam bi mingi sëssé ci 'kernel' bi — muy liggéey bu ay junni thread yu woyof di def ci benn yoon, ñu boole leen ci ay bloc ak ay griy. Ginaaw GPU yi SIMT lañu (benn tegtal, thread yu bari), thread yépp ci benn groupe dañuy doxal benn tegtal ci done yu wuute, te loolu mooy gëna baax ci math matrix ak vecteur. Ñi gëna bari ci ñiy jëfandikoo IA duñu musa bind CUDA bu ñor; lu moy loolu, kaadar yu melni PyTorch ak TensorFlow dañuy woo bibliotek CUDA yiñ gëna defar - cuDNN ngir jëfandikoo reso neuronal ak cuBLAS ngir algèbre ligneer - ci suufu kapot bi. Bii xeetu losisel bu am solo te màgget mooy fose bi gëna mag ci NVIDIA: doonte chips yiy xëcc dañu gaaw, méngoo ak ecosystemu CUDA lu jafe la.
Gis-gis xarala
Ci CUDA dangay dugal kernel ci biir griy bu am ay blok thread; thread bu nekk dafay xayma benn piyeesu génne gi, ñu koy xàmmee ci block bi ak index thread bi. Performance mingi aju ci hierarchie mémoire bi: 'mémoire buñ bokk' bu gaaw ci puce bi ak mémoire global bu yeex, ak 'coalesced' access fu thread yi ci wetam di jàng adres yi ci wetam. Moytu divergence warp - fu thread yi ci 32-thread 'warp' jël car yu wuute te dañu wara serialize - mooy caabi itam ngir tëye cores GPU yi.
njeextalu pexe
Njëgg ak budget
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
dogal yu gëna leer
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Xool kalite
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Ëlëgu prograam CUDA ak GPU
CUDA dina wéy di am doole ci IA ci ay at ndax tëjug ecosystemam, waaye fitnaal bi mingi gëna yokk. Ubbi yeneen anam yu melni __AIU_PROTECTED_10_'s Triton may defarkat yi ñu bind kernel GPU ci Python, ak jeegoowu jaaykat yu bari (OpenCL, ROCm AMD, SYCL) ngir dindi NVIDIA. Lu gëna bari, compilatër yu mag yi dañuy defar ci saasi kodu GPU buñ gëna defar, moo tax ingénieur yu néew ñooy bind kernel yi ak loxo. Tendens bi mingi jubal ci abstraction yu gëna kawe ci jamono ji CUDA des ci liggéey bi ñépp di méngale.
Doxal ci àdduna dëgg
PyTorch dafay doxal ci saasi ay liggéey tensor ci GPU jaaraleko ci CUDA soo woowee .to('cuda')
cuDNN dafay joxe CUDA yuñ defaree loxo ci ay convolution yuy gaawlu tàggat modelu nataal
Ingénieur buy bind kernel CUDA ngir gaawlu ab simulation science
Triton bu AIU dafay may gëstukat yi ñu bind kernel GPU yu baax ci Python ci barabu CUDA C bu woyof
Risk yi ak balustrade yi
Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Benchmark ci biir sargal ak done yu dëggu.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Weyal di banneexu
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Gis bi ci topp
Doxal mémoire GPU ak xaaj
Laaj yi ñuy faral di laaj
What is CUDA and GPU Programming?
CUDA mooy platformu NVIDIA ngir bind ay prograam yuy daw ci GPU yi, di ubbi ay junni core ngir ordinatër paralel. Mooy fondasioŋ losisel bi soppi GPU yi ñu nekk motëru IA bu bees bi.
Ci kàddu CUDA, luy 'kernel'?
Ci CUDA kernel ab fonction la buñu ubbi ngir def ay junni thread GPU ci benn yoon, bu nekk di liggéey ci ay done yu wuute.
Luy xeetu jëfandikoo SIMT?
SIMT (Benn Tegtal, Thread yu bari) dafay tekki ni ay grupu thread dañuy def benn tegtal ci ay done yu wuute, lu baax ci math matrix.
Lan moo waral PyTorch ak TensorFlow duñu faral di sàkku ci jëfandikukat yi ñu bind CUDA bu ñor?
Kadre yooyu dañuy ëmb bibliotek CUDA yiñ gëna defar (cuDNN, cuBLAS), suko defee jëfandikukat yi am gaawaayu GPU te duñu bind kernel yu niveau bu woyof.
Luy 'warp divergence' te lu tax mu gaañ performance?
Warp mooy kuréel gu am (32) buum; sudee dañu jël ay car yu wuute, hardware bi dafay serialize yoon yi, di yàq produit parallèle.
Lan moo waral 'coalesced' am solo ci CUDA?
Su thread yi ci wetam duggee ci adres memory yi ci dekkandoo yi, hardware bi mën na boole liñ jàng, gëna suqali memory bi.