Isgaarsiin wadareed iyo NCCL
Xidhiidhka wadareedku waa sida ay koox GPUs ah isu weydaarsadaan oo ay xogta isu geeyaan, NCCL waa maktabadda NVIDIA taaso ka dhigaysa wax-isweydaarsiga si xawli ah.
Dulmar
Operations like all-reduce are the heartbeat of distributed training, synchronizing gradients across every GPU each step.
quusid qoto dheer
Tababarka qaab weyn macnaheedu waa GPU kastaa wuxuu ku xisaabiyaa gradients qaybtiisa xogta ah, markaa dhammaan GPU-yadu waa inay ku heshiiyaan natiijada la isku daray ka hor tallaabada xigta. Isku-dubbaridkaas waxaa lagu sameeyay hawlgallo wadajir ah: dhammaan-dhimista wadarta guud ahaan GPU-yada waxayna qof walba siinaysaa natiijada; Dhammaan-ururintu waxay ururiyaan qayb kasta oo GPU ah oo ay ka dhigaan nuqul buuxa dhammaantood; baahinta waxay u dirtaa hal xogta GPU-da inta kale; yaree-kala firdhiso isku darka ka dibna kala qaybsanaan. NCCL (NVIDIA Collective Communications Library) waxay si hufan kuwan uga fulisaa GPU-yada server-ka iyo server-yada oo dhan, iyadoo adeegsanaysa algorithms-ka warhaynta topology-ga sida giraanta iyo geedka-dhammaan-yaraynta. Waxay ka faa'iidaysataa NVLink gudaha noodhka iyo InfiniBand ama RoCE inta u dhaxaysa noodhka, waana laf dhabarta isgaadhsiinta ee hoos timaada PyTorch DDP, FSDP, DeepSpeed, iyo Megatron.
Aragtida Farsamada
Garaacda-dhammaan-dhimista waa algorithm-ka caadiga ah: GPU-yadu waxay sameeyaan giraan macquul ah, xogtuna waxay u kala qaybsantaa qaybo wareegta si ay tallaabo kasta u dul-maro isgaarsiinta, taasoo ka dhigaysa wadarta wareejinta xawilaadda-fiican oo qiyaas ahaan ka madaxbannaan tirinta GPU-da. Nodes badan, algorithms-ku salaysan geedku waxay yareeyaan daahitaanka iyagoo isku daraya natiijooyinka si kala sareyn ah. NCCL waxay si toos ah u ogaataa topology-ga, waxay soo xushaa algorithm-ka ugu fiican, waxayna ku dejin kartaa xisaabta dhimista shabakada NVIDIA SHARP, kala badh xogta ay tahay inay maraan isku xirka.
Saamaynta Istiraatijiyadeed
Qiimaha iyo miisaaniyada
Go'aamada qaab-dhismeedku waxay horseedaan waxqabadka iyo kharashka hawlgalka sannadaha.
Go'aamo cad
Waxbarashada farsamada waxay ka caawisaa kooxaha inay doortaan xidhmo sax ah, ma aha oo kaliya kan ugu cusub.
Xakamaynta tayada
Doorashooyinka injineernimada ee wanaagsan waxay yareeyaan shilalka la isku halleyn karo ee wax soo saarka.
Mustaqbalka Isgaadhsiinta Wadajirka ah iyo NCCL
Sida kooxuhu u cabbiraan boqollaal kun oo GPU-yada, isgaadhsiintu waxay si isa soo taraysa u xukumaan wakhtiga tababarka, markaa maktabadaha wadareedku waa xuduud kulul. Filo kombuyuutar shabakad dhexdeed oo qoto dheer (isbedel samaynaysa dhimista), kombuyuutarka iyo isgaadhsiinta si aad u qariso daahitaanka, iyo ururo sax ah oo hooseeya oo yareeya bytes-ka dhaqaaqo. Tartanka ayaa sidoo kale kor u kacaya, iyada oo la adeegsanayo dadaallada iibiyeyaasha iyo Ethernet-ku salaysan ee RDMA riixaya beddelka, halka NCCL ay sii adkeynayso isdhexgalka NVLink, NVSwitch, iyo muraayadaha indhaha ee soo baxaya.
Dhaqangelinta Adduunka-dhabta ah
Isku-dubbaridka gradients tallaabo kasta oo tababar ah dhammaan GPU-yada iyadoo la isticmaalayo dhammaan-dhimista PyTorch DistributedDataParallel
Kala qaybinta dawladaha iyo ururinta cabbirada baahida iyadoo la wada ururinayo oo la dhimo ku firdhisanaanta FSDP ama DeepSpeed ZeRO
Baahinta miisaanka bilowga ah ee hal GPU ilaa dhammaan kuwa kale bilowga socodka tababarka
Isticmaalka giraanta-dhammaan-dhimista NVLink iyo InfiniBand si aad u ilaaliso bandwidth sare ee guud ahaan rucubyada GPU-ga-node-ka badan
Khatarta & Dariiqyada Ilaalada
Hagaajinta hal bartilmaameed waxay qarin kartaa daciifnimada nidaamka ballaaran.
Kaabayaasha dhaqaalaha iyo dayactirka inta badan waa la dhayalsadaa.
Nabadgelyada iyo daldaloolada u fiirsashada ayaa kori kara marka nidaamyadu noqdaan kuwo aad u adag.
Qorshe Hawleedka Dhaqangelinta
Qeex daahida, tayada, iyo bartilmaameedyada qiimaha ka hor inta aan la hirgelin.
Benchmark marka la eego culeyska dhabta ah iyo xaaladaha xogta.
La socodka qalabka khaladaadka, leexashada, iyo saamaynta isticmaalaha.
U diyaari dib-u-noqoshada iyo dariiqyada jawaab-celinta dhacdada ka hor inta aanad miisaan.
Sii wad Sahaminta
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Hagaha xiga
Qaabka khadka tooska ah iyo khadka tooska ah ee u adeegaya Skew
Su'aalaha soo noqnoqda
What is Collective Communication and NCCL?
Xidhiidhka wadareedku waa sida ay koox GPUs ah isu weydaarsadaan oo ay xogta isu geeyaan, NCCL waa maktabadda NVIDIA taaso ka dhigaysa wax-isweydaarsiga si xawli ah. Hawlgallada sida-dhammaan-dhimista waa garaaca wadnaha ee tababarka la qaybiyey, isku-dubbaridka gradients guud ahaan GPU kasta tallaabo kasta.
Muxuu hawlgal-dhimista oo dhan ku qabtaa tababarka la qaybiyey?
Wadarta-dhammaan-dhimista (ama haddii kale la isku daro) qiime guud ahaan GPU kasta oo u qaybiya natiijada isku midka ah dhammaantood, taas oo ah sida gradients la isku waafajiyo.
Waa maxay macnaha erayga NCCL ee soo gaabiyay?
NCCL waa Maktabada Isgaadhsiinta Wadareed ee NVIDIA, kaas oo fulisa hawlo wadareedyo badan oo GPU-yo ah oo degdeg ah.
Waa maxay sababta giraanta-dhammaan-yaraynta loogu tixgaliyo bandwidth-ka ugu fiican?
Marka la googooyo xogta oo la dhex mariyo giraanta macquulka ah, xiriiriye kasta ayaa la isticmaalaa isku mar wadarta wareejintuna waxay noqonaysaa qiyaas ka madax bannaan tirada GPU-yada.
Hawlgalkee wadajirka ah ee ururinaya qayb kasta oo xogta GPU ah nuqul buuxa oo ay hayaan dhammaan GPU-yada?
Dhammaan-ururintu waxay ururiyaan qaybo kala duwan oo ka mid ah GPU kasta oo waxay ku ururiyaan dhammaan qaybaha oo dhan, oo si weyn loogu isticmaalo tababbarka la jajabiyey sida FSDP.
Maxay NVIDIA Sharp ka qabataa hawlgallada wadajirka ah?
SHARP waxay qabataa xisaabinta shabakada dhexdeeda, iyada oo samaynaysa qayb ka mid ah dhimista gudaha furaha si xog yar ay u gudubto isku xirka, dedejisa isku-dhafka.