Uhlolojikelele
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.
I-Collective Communication kanye ne-NCCL kuyisakhiwo sobuchwepheshe esithinta ikhwalithi yemodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini.
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-Mastering Collective Communication kanye ne-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. I-Collective Communication kanye ne-NCCL kuyisakhiwo sobuchwepheshe esithinta ikhwalithi yemodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini. Ukuze wakhe ukuqonda okujulile, phatha i-Collective Communication kanye ne-NCCL njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Collective Communication kanye ne-NCCL athuthukisa ukukhetha kwezakhiwo, idatha, kanye nengqalasizinda ngokumelene nokuthembeka nezindleko. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ngesikhathi esifanayo, Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
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
Amaphethini Okusebenzisa
I-Collective Communication kanye ne-NCCL ekusebenzeni
Ukuvumelanisa ama-gradient sonke isinyathelo sokuqeqesha kuwo wonke ama-GPU kusetshenziswa ukuncishiswa konke ku-PyTorch DistributedDataParallel.
Ukuvumelanisa ama-gradients zonke izinyathelo zokuqeqesha kuwo wonke ama-GPU kusetshenziswa ukunciphisa konke ku-PyTorch DistributedDataParallel Teams ngokuvamile athola imiphumela engcono lapho echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Collective Communication kanye ne-NCCL ekusebenzeni
I-Shading optimizer states kanye nokuqoqa amapharamitha ngokufunwa ngakho konke ukuqoqa nokunciphisa ku-FSDP noma i-DeepSpeed ZeRO.
I-Shading optimizer states kanye nokuqoqa amapharamitha ngokufunwa ngakho konke ukuqoqa nokunciphisa ukuhlakazeka ku-FSDP noma i-DeepSpeed ZeRO Teams ivamise ukuthola imiphumela engcono uma ichaza imingcele yekhwalithi ngaphambili, igcina indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi ilandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Collective Communication kanye ne-NCCL ekusebenzeni
Ukusakaza izisindo zemodeli yokuqala ukusuka ku-GPU eyodwa kuya kuzo zonke ezinye ekuqaleni komgijimo wokuqeqesha.
Ukusakaza izisindo zemodeli yokuqala ukusuka ku-GPU eyodwa kuya kuzo zonke ezinye ekuqaleni kokugijima kokuqeqeshwa Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Collective Communication kanye ne-NCCL ekusebenzeni
Kusetshenziswa indandatho yokunciphisa konke nge-NVLink ne-InfiniBand ukuze ugcine umkhawulokudonsa uphezulu kuwo wonke amaqoqo e-GPU enamanodi amaningi.
Ukusebenzisa indandatho yokunciphisa konke nge-NVLink ne-InfiniBand ukuze ugcine umkhawulokudonsa uphezulu kuwo wonke amaqoqo e-GPU enamanodi amaningi Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
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.
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.