Collective Communication kanye NCCL
Ukuxhumana okuhlangene yindlela iqembu lama-GPUs elishintshana ngayo futhi lihlanganise idatha, futhi i-NCCL ilabhulali ye-NVIDIA eyenza lokho kushintshana kusheshe kakhulu.
Uhlolojikelele
Operations like all-reduce are the heartbeat of distributed training, synchronizing gradients across every GPU each step.
I-Deep Dive
Ukuqeqesha imodeli enkulu kusho ukuthi i-GPU ngayinye ibala ama-gradient esiqeshini sayo sedatha, bese wonke ama-GPU kufanele avumelane ngomphumela ohlanganisiwe ngaphambi kwesinyathelo esilandelayo. Lokho kuhlanganisa kwenziwa ngemisebenzi eyiqoqo: nciphisa konke amanani ezibalo kuwo wonke ama-GPU futhi kunikeza wonke umuntu umphumela; iqoqo ngalinye liqoqa ucezu ngalunye lwe-GPU lube ikhophi egcwele kuwo wonke; ukusakaza kuthumela idatha ye-GPU eyodwa kokusele; ukunciphisa-scatter kuhlanganisa bese kuyahlukana. I-NCCL (I-NVIDIA Collective Communications Library) isebenzisa kahle lokhu kuwo wonke ama-GPU kuseva nakuwo wonke amaseva, isebenzisa ama-algorithms aqaphela i-topology njengeringi nesihlahla nciphisa konke. Isebenzisa i-NVLink ngaphakathi kwe-node kanye ne-InfiniBand noma i-RoCE phakathi kwama-node, futhi iwumgogodla wokuxhumana ngaphansi kwe-PyTorch DDP, i-FSDP, i-DeepSpeed, ne-Megatron.
I-Technical Insight
Ukunciphisa konke kuyi-algorithm yakudala: Ama-GPU enza indandatho enengqondo, futhi idatha ihlukaniswa yaba izingcezu ezijikelezayo ukuze isinyathelo ngasinye sidlulele ekukhulumisaneni, okwenza isamba somkhawulokudonsa sokudlulisa sibe-lilungile futhi sicishe sizimele ekubalweni kwe-GPU. Kuma-node amaningi, ama-algorithms asekelwe esihlahleni anciphisa ukubambezeleka ngokuhlanganisa imiphumela ngokohlelo. I-NCCL ihlonza ngokuzenzakalelayo i-topology, ikhetha i-algorithm ehamba phambili, futhi ingakhipha izibalo zokunciphisa kunethiwekhi nge-NVIDIA SHARP, ihlukanise uhhafu idatha okufanele yeqe izixhumanisi.
I-Strategic Impact
Izindleko kanye nesabelomali
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo ezicacile
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Ukulawulwa kwekhwalithi
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Ikusasa Lokuxhumanisa Ngokuhlanganyela kanye ne-NCCL
Njengoba amaqoqo afinyelela kumakhulu ezinkulungwane zama-GPU, ukuxhumana kuya ngokuya kubusa isikhathi sokuqeqeshwa, ngakho-ke imitapo yolwazi iwumngcele oshisayo. Lindela ukujula kwekhompuyutha ye-in-network (ukushintsha ukwenza ukunciphisa), ukugqagqana okungcono kwekhompuyutha nokuxhumana ukuze ufihle ukubambezeleka, namaqoqo anonemba kancane ashwabanisa amabhayithi anyakazayo. Ukuncintisana kuyakhula futhi, ngemizamo yomthengisi onqamulayo kanye ne-Ethernet-based RDMA yokuphusha ezinye izindlela, kuyilapho i-NCCL ilokhu iqinisa ukuhlanganiswa ne-NVLink, NVSwitch, nezindwangu zamehlo ezivelayo.
Ukuqaliswa Komhlaba Wangempela
Ukuvumelanisa ama-gradient zonke izinyathelo zokuqeqesha kuwo wonke ama-GPU kusetshenziswa ukuncishiswa konke ku-PyTorch DistributedDataParallel
Ukwabelana ngezimo ze-optimizer kanye nokuqoqa amapharamitha ngokufunwa ngakho konke ukuqoqa nokunciphisa ukuhlakazeka ku-FSDP noma i-DeepSpeed ZeRO
Ukusakaza izisindo zemodeli yokuqala ukusuka ku-GPU eyodwa kuya kuzo zonke ezinye ekuqaleni komgijimo wokuqeqesha
Ukusebenzisa indandatho yokunciphisa konke nge-NVLink ne-InfiniBand ukuze ugcine umkhawulokudonsa uphezulu kuwo wonke amaqoqo e-GPU enamanodi amaningi
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
Isici Esiku-inthanethi Nesingaxhunyiwe Ku-inthanethi Sokusebenzela I-skew
Imibuzo evame ukubuzwa
What is Collective Communication and NCCL?
Ukuxhumana okuhlangene yindlela iqembu lama-GPUs elishintshana ngayo futhi lihlanganise idatha, futhi i-NCCL ilabhulali ye-NVIDIA eyenza lokho kushintshana kusheshe kakhulu. Imisebenzi efana nokunciphisa konke ukushaya kwenhliziyo kokuqeqeshwa okusabalalisiwe, ukuvumelanisa ama-gradient kuyo yonke i-GPU ngayinye isinyathelo.
Yini efezwa umsebenzi wokunciphisa konke ekuqeqesheni okusabalalisiwe?
Nciphisa konke izibalo (noma ukuhlanganisa) inani kuyo yonke i-GPU futhi kusabalalise umphumela ofanayo kuwo wonke, okuyindlela ama-gradient avunyelaniswa ngayo.
Imelelani isifinyezo esithi NCCL?
I-NCCL I-NVIDIA Collective Communications Library, esebenzisa ama-GPU amaningi asheshayo kanye nemisebenzi ehlangene yamanodi amaningi.
Kungani ukuncishiswa kwendandatho kubhekwa njenge-bandwidth-optimal?
Ngokuhlanganisa idatha nokudlulisa izingcezu eringini enengqondo, sonke isixhumanisi sisetshenziswa ngesikhathi esisodwa futhi ukudluliswa okuphelele kucishe kuzimele enanini lama-GPU.
Yikuphi ukusebenza okuhlangene okuqoqa ingxenye yedatha ye-GPU ngayinye ibe ikhophi egcwele ephethwe yiwo wonke ama-GPU?
I-All-Gather iqoqa izingcezu ezihlukile kuzo zonke i-GPU futhi ihlanganise isethi ephelele kuzo zonke, ezisetshenziswa kakhulu ekuqeqeshweni okuhlukene njenge-FSDP.
Yenzani i-NVIDIA SHARP ekusebenzeni okuhlangene?
I-SHARP yenza i-in-network computing, yenza ingxenye yokunciphisa ngaphakathi kweswishi ukuze idatha encane inqamule izixhumanisi, isheshise amaqoqo.