Yintoni iTeraflop? IsiKhokelo esiPheleleyo seTFLOPS, iNtsebenzo, kunye neZicelo zeLizwe langempela
I. Intshayelelo
Ehlabathini le ukusebenza okuphezulu kwekhompyutha, igama elithile i-teraflop-okanye IFLOPS-Ngumlinganiselo obalulekileyo wekhompyuter amandla okubala. A i-teraflop imele ukukwazi ukwenza itriliyoni enye yemisebenzi edadayo ngesekhondi, iyenza ibe yindlela eqhelekileyo yokulinganisa ekrwada ukucubungula ukusebenza. Le metric isetyenziswa ngokubanzi ukuthelekisa CPUs, GPUs, kwaye nkqu iikhompyutha ezinkulu, ukuvumela iinjineli, abadlali, kunye nabaphandi ukuba baqonde ukuba ingakanani idatha inkqubo enokuyiqhuba ngexesha elithile.
Ukuqonda IFLOPS ibalulekile kuba inika ingqiqo kubuchule bomatshini bokuphatha compute-intensive workloads njenge:
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Ukulinganisa kwezenzululwazi (umzekelo wemozulu, amandla emolekyuli)
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Imidlalo kunye nonikezelo lwemizobo (ukulandelela imitha yexesha lokwenyani, imidlalo ye-4K)
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Kukubhadla okungeyonyani kwaye uqeqesho lokufunda ngoomatshini
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Uhlalutyo lwedatha enkulu kwaye cloud computing imisebenzi
Ngelixa isantya sewotshi (GHz) kunye Ubalo olungundoqo zisoloko zipapashwa, iiteraflops nika umfanekiso ocacileyo we ukusebenza kwinqanaba elidadayo, eyona nto ibalulekileyo kwizicelo ezifuna izibalo ezichanekileyo zemathematika. Eli nqaku liphonononga yintoni i-teraflop, zilinganiswa njani ii-TFLOPS, yabo usetyenziso lwehlabathi lokwenyani, kunye nentsingiselo yazo izixhobo zekhompyutha zale mihla-ukusuka kwiikhonsoli zokudlala ukuya iziko ledatha GPUs inika amandla i-AI.
II. Iziseko zeMisebenzi yeeNdawo eziNtandayo (FLOPS)
Embindini wokuqonda a i-teraflop ngumbono we IFLOPS-ImiSebenzi yeNqanaba elidadayo ngeSibini ngasinye. I-FLOP ilinganisa ukukwazi kwenkqubo yekhompyutha ukwenza enye ukubala indawo edadayo, njengokudibanisa, ukuthabatha, uphinda-phindo, okanye ukwahlula amanani okwenene anamanqaku edesimali. Ngenxa yokuba uninzi lwezicelo zanamhlanje-ezinje Ukulinganisa kwenzululwazi, Uqeqesho lwe-AI, kwaye Unikezelo lwe-3D-thembela kakhulu kwi-arithmetic yendawo edadayo, I-FLOPS ibe ngumgangatho wegolide yokulinganisa ukusebenza kwekhompyutha.
FLOPS Isimaphambili Solawulo
Ukumisela imeko apho IFLOPS iyalingana, qwalasela inkqubo yokukala:
| Isimaphambili | Ixabiso | Imisebenzi ngeSibini nganye |
|---|---|---|
| KFLOPS | 10³ | I-1,000 lemisebenzi yeendawo ezidadayo |
| IMFLOPS | 10⁶ | 1 million imisebenzi |
| GFLOPS | 10⁹ | I-1 yebhiliyoni yokusebenza |
| IFLOPS | 10¹² | I-1 yetriliyoni yokusebenza |
| I-PFLOPS | 10¹⁵ | 1 quadrillion imisebenzi |
| EFLOPS | 10¹⁸ | 1 quintillion imisebenzi |
Olu luhlu lubonisa indlela ngokukhawuleza amandla okubala iye yakala, ukusuka ii-megaflops kwii-mainframes zokuqala ukuya iipetaflops kunye ne-exaflops kule mihla iikhompyutha ezinkulu.
Izinto ezisisiseko ze-Arithmetic ezidadayo
Inombolo yendawo edadayo imelwe kusetyenziswa i IEEE-754 umgangatho, equka:
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Intwana yomqondiso (elungileyo okanye embi)
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Exponent (ubukhulu benani)
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UMantissa/Icandelo (iinkcukacha ezichanekileyo)
Eyahlukileyo amanqanaba achanekileyo kuchaphazela ukusebenza kunye nokuchaneka:
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FP64 (ichaneke kabini): Isetyenziswa kwi uphando lwenzululwazi apho ukuchaneka kubalulekile
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FP32 (echanekileyo-enye): Ixhaphakile ngaphakathi GPUs yomdlalo kunye nemizobo
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FP16 (isiqingatha-ngokuchanekileyo): Isetyenziswa kakhulu kwi I-AI kunye nokufunda koomatshini ukuphucula isantya kunye nokusebenza kakuhle
Kutheni FLOPS ibalulekile
Ngokungafaniyo isantya sewotshi (GHz) okanye Ubalo olungundoqo, ebonisa iinkcukacha zehardware ekrwada, I-FLOPS ibonisa ngokuthe ngqo umsebenzi wezibalo. Oku kwenza ukuba i-FLOPS ibaluleke kakhulu xa kuvavanywa Amaqela e-HPC, iziko ledatha GPUs, kwaye AI accelerators, apho ukusetyenzwa ngokunxuseneyo kwaye ukusebenza ngexesha lokwenyani zibalulekile.
III. Yintoni iTeraflops (TFLOPS)
A i-teraflop-idla ngokufinyezwa njenge IFLOPS-yindlela eqhelekileyo yokulinganisa ukusebenza kwekhompyutha. Igama liyadibanisa "oko" (intsingiselo iitriliyoni) kunye "flopha" (umsebenzi wendawo edadayo), emele ukukwazi komqhubekekisi okanye inkqubo yokwenza itriliyoni enye yemisebenzi edadayo ngesekhondi. Ngamanye amazwi, umatshini ulinganiswe ngo 1 TFLOP ingenza izibalo eziyi-1,000,000,000,000 ngomzuzwana ngamnye.
Umxholo kunye nentsingiselo esebenzayo
Kwiimeko zehlabathi, IFLOPS yi i-output metric, ayisosalathisi esingqalileyo sendlela “ikhawuleza” ngayo ikhompyutha evakalelwa ngayo. Kubaluleke kakhulu xa uvavanya i-hardware esebenzayo ukusetyenzwa ngokunxuseneyo, njenge:
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GPUs yomdlalo, unikezelo lwe-3D, kunye nokulandelela imitha
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CPUs isetyenziswe kwi ikhompuyutha yenzululwazi kunye nomsebenzi wokulinganisa
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AI accelerators kwaye IiNPU kuqeqesho lokufunda olunzulu kunye nokuthelekelela
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Iikhompyutha ezinkulu kwi Iindawo ze-HPC ukuphatha iimodeli ezinzima
Imilinganiselo ye-TFLOPS kwi-Hardware
Izixhobo zale mihla zidla ngokubhengeza Ukusebenza kwe-TFLOPS njengendlela yokubonisa amandla okubala:
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Gaming Consoles – Xbox Series X: 12 TFLOPS, PlayStation 5: ~10 TFLOPS
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IiGPU eziPhezulu – NVIDIA RTX 4090: 82+ FP32 TFLOPS
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Iikhompyutha ezinkulu -I-Frontier (ORNL): idlula i-1.1 exaflops (1,100,000 TFLOPS)
I-TFLOPS vs Ezinye iiMetrics
Ngelixa isantya sewotshi (GHz) imijikelo yokulinganisa ngesekhondi, I-TFLOPS ilinganisa eyona ndawo idadayo. Iiprosesa ezimbini ezinemilinganiselo ye-GHz efanayo zinokwahluka kakhulu kwi-TFLOPS ngokuxhomekeke Ubalo olungundoqo, iiyunithi zevektha, kwaye iiseti zemiyalelo (SIMD, FMA).
Ukuqonda iiteraflops inceda iinjineli, abadlali, kunye nabaphandi balinganise amandla enkqubo ukujongana compute-intensive workloads, ukusuka Uqeqesho lwemodeli ye-AI ukuya unikezelo lwexesha lokwenyani kwaye Ukulinganisa kwenzululwazi.
IV. Umlinganiselo, iBenchmarks, kunye neNyaniso
Ngelixa IFLOPS ibonelela ngomlinganiselo wethiyori amandla ekhompyuter, i ukusebenza okwenyani ukufezekiswa kumthwalo wokwenyani kunokwahluka kakhulu. Ukuqonda indlela i-teraflops ilinganiswa ngayo ngundoqo ekutolikeni amanani apapashiweyo ngokuchanekileyo.
Ithiyori vs. Sustained TFLOPS
Abavelisi bahlala bethengisa incopho yethiyori ye-TFLOPS, ibalwe kusetyenziswa:
Ifomula:I-TFLOPS = Inani leeNqaku × Isantya sekloko × iiFLOPs ngomjikelo ngamnye
Oku kuthatha ukusetyenziswa okugqibeleleyo, kunye nesiseko ngasinye sisebenza ngesantya esipheleleyo ngaphandle kweziphazamiso. Ngokusebenza, I-TFLOPS ezinzileyo zihlala zisezantsi ngenxa yoku:
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Imida ye-Memory bandwidth -Ukutya okucothayo kwedatha kunciphisa umthamo
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Imiqobo yomyalelo - ukuxhomekeka kuthintela ukusetyenziswa kwe-100%.
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I-Thermal throttling – ubushushu busenokuthoba isantya sewotshi phantsi komthwalo onzima
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Ukungasebenzi kakuhle kwesoftware -Ukwenziwa kakuhle okulambathayo kumosha ukubala izixhobo
Izixhobo zokuthelekisa
Umgangatho woshishino amanqaku nceda ukulinganisa ilizwe lokwenyani ukusebenza kwinqanaba elidadayo:
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LINPACK iBenchmark – esetyenziswa kwi TOP500 uluhlu lweekhompyuter ezinkulu, igxininisa ukusebenza kweFP64 (i-double-precision).
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SPEC CPU -vavanya ukusebenza kwe-CPU kuyo yonke imisebenzi emininzi
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3DMark / GFXBench – umlinganiselo I-GPU FLOPS ukusebenza kwemidlalo kunye nonikezelo
Iimpembelelo zokwenyani zeHlabathi
Ukuthelekisa izixhobo kuphela Iireyithingi ze-TFLOPS inokulahlekisa. I-GPU ene-TFLOPS eninzi isenokungaqhubi kakuhle ukuba ayanelanga imemori bandwidth okanye abaqhubi abangasebenziyo. Ngokufanayo, I-CPU FLOPS inokuthintelwa ngokuhambelana kwenqanaba lomyalelo okanye ubungakanani becache.
Kwiingcali kwi HPC, Uqeqesho lwemodeli ye-AI, okanye uphando lwenzululwazi, kubalulekile ukujonga iimetrikhi zokusebenza ezizinzileyo, ukusebenza kakuhle kwamandla, kunye umthwalo womsebenzi-ibenchmarks ezithile ukufumana umfanekiso ochanekileyo wenkqubo isakhono sokwenene sokubala. Ukuba ujonge ikhompyuter yeshishini kwimfuno yakho ephezulu yekhompyuter, nceda ucofe i-rackmount pc, pc elungisiweyo, njl.
V. Ukusetyenziswa kweeTeraflops
Ukubaluleka kwe IFLOPS idlulela ngaphaya kwengcamango—ixabiso layo lokwenene libonakala kuyo usetyenziso lwehlabathi lokwenyani apho kufuneka ugqitho olukhulu lokubala. Iinkqubo eziphezulu iireyithingi zeteraflop bagqwesileyo kwi ukusetyenzwa ngokunxuseneyo imisebenzi, ukunika amandla ukusungula kumashishini ukusuka kumdlalo ukuya uphando lwenzululwazi.
Imidlalo kunye nemizobo
Kwishishini lemidlalo, IFLOPS impembelelo ngqo ukusebenza kwemizobo kwaye amazinga esakhelo. GPUs nge TFLOPS ephezulu inokuqhubekeka ngakumbi iincam, pixels, kwaye izithunzi, yenza:
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Ixesha langempela lokulandelela imitha ukukhanyisa okufana nobomi
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Unikezelo lwe-4K kunye ne-8K kumazinga aphezulu efreyimu
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VR kunye AR amava nge-latency esezantsi
Umzekelo, i Xbox Series X (12 TFLOPS) kwaye I-PlayStation 5 (~10 TFLOPS) ukuhambisa umgangatho wemizobo ekufutshane-kwinqanaba lePC ngokusetyenziswa I-GPU ikhola amandla ilinganiswe ngeeteraflops.
Ubukrelekrele bokwenziwa kunye nokuFunda koomatshini
AI imithwalo yomsebenzi—ingakumbi uqeqesho lokufunda olunzulu-ifuna iitriliyoni ze Uphindaphindo lwematrix kwaye imisebenzi ye-vector. I-FLOPS ephezulu GPUs, njengeeNVIDIA A100 kwaye H100, hambisa amakhulu e-TFLOPS (FP16/FP8) ukukhawulezisa:
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Uqeqesho lweNeural network
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Ingqikelelo yexesha lokwenyani
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Iinkqubo zokucebisa
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Iimodeli ze-AI ezivelisayo
IKhompyutha eSebenza ngokuPhezulu (HPC)
Kwi Amaqela e-HPC kwaye iikhompyutha ezinkulu, TFLOPS kunye I-PFLOPS Amanqaku abalulekile ekusebenzeni:
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Ukulinganisa imozulu kunye nemozulu
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Amandla emolekyuli kunye nokufunyanwa kweziyobisi
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Imodeli yeAstrophysics
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Uhlalutyo lwengozi yemali
UkuCwangciswa kweeNkcukacha kunye neMisebenzi yeLifu
ababoneleli Cloud bhengeza FLOPS ngokomzekelo ukukhokela abathengi ekukhetheni iinodi zokubala uhlalutyo olukhulu lwedatha, ukuhanjiswa kwevidiyo, okanye ixesha lokwenyani IoT processing.
Kufuphi, I-teraflops yenza ukuba izinto ezintsha zikwazi ukuvela naphi na apho kufuneka umthamo ophezulu wevolumu, uchaneke, ungqamaniso wokubala-ukwenza ukuba ibe yimetric esembindini yokuvavanya ii-CPU zangoku, ii-GPU, kunye nee-accelerator ze-AI.
VI. Izinto eziluncedo kunye neMida yeTFLOPS njengeMetric
Ngelixa IFLOPS ibe luphawu olwamkelwa ngokubanzi lwe ukusebenza kwekhompyutha, kubalulekile ukuqonda zombini amandla kwaye iintsilelo.
Izinto ezilungileyo zeTFLOPS
IFLOPS inikeza a ecacileyo, umlinganiselo wobungakanani yeprosesa okanye Ukusebenza kwendawo edadayo yeGPU, iyenza ibe luncedo ku:
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Ukuthelekisa ihardware -Ii-CPU, ii-GPU, kunye neekhompyuter ezinkulu zinokuvavanywa kwisikali esiqhelekileyo (Cofa apha ukuze ufumane pc yoshishino ngeGPU, ILaptop eMagingxigingxi eneGPU)
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Ubungakanani bekhomputha umthamo - ibaluleke kakhulu Amaqela e-HPC, Uqeqesho lwe-AI, kwaye imisebenzi yenzululwazi
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Ukuchonga iindlela zokusebenza -inceda ukulandelela uphuculo lwemveliso (umzekelo, iigigaflops → teraflops → petaflops)
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Intengiso kunye nokucaciswa kwengcaciso – inani elinye elichaza ukubanakho kwethiyori yokubala
Le metric iyasebenza ngakumbi kumthwalo womsebenzi oxhomekeke kakhulu kuwo Ubalo lweendawo ezidadayo ezinxuseneyo, njenge Unikezelo lwe-3D, uqeqesho lwenethiwekhi ye-neural, okanye imodeli yemozulu.
Imida kunye neengcamango ezingezizo
Nangona kunjalo, I-TFLOPS ayingomfanekiso opheleleyo yokusebenza kwenkqubo. Izinto ezininzi zinokubangela ukuba isixhobo esine-TFLOPS ephezulu siqhube kakubi kwimisebenzi yokwenyani:
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Imiqobo yebhanwidth yeMemori -Ukusetyenziswa kwemida yokulamba kwedatha
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Ukungasebenzi kakuhle kwesoftware - ikhowudi elungiselelwe kakubi ayinakuxhaphaza amandla apheleleyo ekhompyuter
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I-Thermal throttling kunye nemida yamandla -Izantya ezisezantsi ezizinzileyo zewotshi zinciphisa imveliso yokwenyani
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Iimowudi ezichanekileyo ezahlukeneyo – FP16, FP32, FP64 ukusebenza kuyahluka kuzo zonke izakhiwo
VII. Uziqikelela njani okanye uzibale njani ii-TFLOPS
Ukwazi ukwenza bala i-TFLOPS inceda ukuguqulela iinkcukacha zehardware zibe ngumlinganiselo onentsingiselo amandla ekhompyuter. Ubalo lusekwe kwinani le iicores, yabo isantya sewotshi, kunye nenani le imisebenzi yeendawo ezidadayo kumjikelo ngamnye undoqo ngamnye unako ukwenza.
Ifomula yokubala ye-TFLOPS
Ifomula ngokubanzi yile:
Apho:
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Inani leeCores -Iiyunithi zokusetyenzwa ezihambelanayo zizonke (umzekelo, ii-CUDA cores, ii-CPU cores)
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Isantya sewotshi – ilinganiswe nge GHz (imijikelo ngesekhondi)
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I-FLOPs kwi-Cycle nganye – inani lemisebenzi yeendawo ezidadayo ezenziwe ngondoqo ngamnye ngomjikelo wewotshi
Umzekelo wokuthelekisa
| Hardware Umzekelo | Iicores | Isantya sewotshi | I-FLOPs kwi-Cycle nganye | Malunga. IFLOPS |
|---|---|---|---|---|
| CPU (8-Core, 3.5 GHz) | 8 | 3.5 GHz | 16 (AVX2) | ~ 0,45 TFLOPS |
| I-GPU (NVIDIA RTX 4090) | 16,384 | 2.5 GHz | 2 (FP32) | ~ 82 IFLOPS |
Le theyibhile igxininisa ukuba kutheni GPUs lawula imisebenzi ehambelanayo-zinamawaka eentsimbi ezincinci ezilungiselelwe I-SIMD (Umyalelo omnye, iDatha ezininzi) imisebenzi, ivelisa ngaphezulu kakhulu indawo edadayo ngaphezu kwe-CPU.
Amacebiso Aluncedo
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Sebenzisa iinkcukacha zomenzi kubalo oluchanekileyo lwe-core kunye ne-FP32/FP64 throughput
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Khawucinge ngoku uhlobo oluchanekileyo (FP16, FP32, FP64) ukususela ekusebenzeni utshintsho kunye nobubanzi bedatha
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Khangela zombini incopho ye-TFLOPS kwaye I-TFLOPS ezinzileyo ngokwemilinganiselo yolindelo oluyinyani
Ngokuqonda kunye nokusebenzisa le fomyula, iinjineli kunye neengcali ze-IT zinokuvavanya khola umthamo ngenxa Amaqela e-HPC, Umthwalo woqeqesho lwe-AI, kwaye usetyenziso lwegraphics olunzulu ngokuchaneka okukhulu.
IX. Iindlela zexesha elizayo kunye neeMetrikhi eziPhuhlayo
Njengoko amandla ekhompyuter eqhubeka nokukhula, IFLOPS ayiseyiyo kuphela imetriki yokusebenza ebalulekileyo. Ishishini liya phambili iipetaflops, exaflops, nangaphaya, kodwa kwakhona ichaza indlela yokusebenza elinganiswa ngayo ukusebenza kakuhle kwamandla kwaye ubuchule bomsebenzi.
Ngaphaya kwe TFLOPS ezikrwada
Ikamva iikhompyutha ezinkulu kwaye iziko ledatha GPUs uya kugwetywa kungekuphela nje incopho yokwenziwa komsebenzi, kodwa ukusebenza ngewatt nganye kunye nokukwazi kwabo ukugcina umsebenzi wabo phantsi komthwalo wokwenyani. I Uluhlu lweGreen500 sele kuluhlu lweenkqubo ezisekelwe ekusebenzeni kakuhle kwamandla, i-metric engundoqo njenge Ukutya umbane iba yinto ethintelayo.
Iimetriki zokuSebenza eziNtsha
Kuba I-AI kunye nokufunda koomatshini, abathengisi ngoku banika ingxelo EZINGAPHEZULU (iibhiliyoni zokusebenza ngomzuzwana) ukulinganisa ukusebenza okupheleleyo kunye ne-tensor, ebonisa ukubaluleka okukhulayo kwe ikhompuyutha echanekileyo exutyiweyo (FP16, FP8). Ngokufanayo, izicelo ezibambekayo njengaye ingqikelelo yexesha lokwenyani zilinganiswa nge-throughput ukuya ekupheleni, hayi nje iiFLOPS.
iiShifts Architectural
Lindela ukukhula kwi icomputing ene-heterogeneous:
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Uyilo olusekwe kwiChiplet ukuba scalability
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AI accelerators ezinikezelweyo (iiTPUs, iiNPU)
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Ukupakishwa kwe-3D kunye nememori ye-HBM ukusebenza kwe-bandwidth
Xa zizonke, ezi ndlela zibonisa utshintsho ekubaleni nje iiteraflops ukulungelelanisa ukusebenza kwenkqubo iyonke kwiintlobo ngeentlobo, idata-umthwalo onzima womsebenzi.
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