CPU vs. GPU: sib txawv tseem ceeb
1. Tsim Lub Hom Phiaj
CPU (Chav Ua Haujlwm Nruab Nrab)
01
General - lub hom phiaj xam: Optimized rau cov txheej txheem ua kom tiav (piv txwv li, OS kev ua haujlwm, cov kev ntsuas kev kawm, kev twv ua ntej).
02
Tsawg latency: Tsom rau cov ceev ceev ib -} xov threaded.
03
Tsawg dua, cores muaj zog: Feem ntau 4 {{{- 16 cores (nrog SMT / Hyper -} xov rau cov threading rau ntau hom xov).
GPU (Cov duab kos chav)
01
Loj heev parallelism: Tsim los rau high -} fructed mus thaum kawg cov haujlwm ua haujlwm (piv txwv li, kev ua lej lej).
02
Siab dhau los: Exuted txhiab ntawm cov haujlwm yooj yim ib txhij.
03
Ntau, cov cores yooj yim dua: Txhiab tus neeg me (piv txwv li, zawv cuda / amd kwj cores), tab sis txhua tus tsis muaj zog dua CPU tus tub ntxhais.
2. Architecture
Same
01
Complex tswj logic: Txhawb tawm - ntawm - kev txiav txim, thiab caches loj (L1 / L2).
02
Qhia txog ib qho - xov ceev: Ua rau cov haujlwm muaj txiaj ntsig zoo.
Tus hlaws
01
Simd (tib txoj kev qhia, ntau cov ntaub ntawv): Ib qho kev qhia ua ntau cov ntaub ntawv cov ntaub ntawv (piv txwv li, shading pixels).
02
Caches me me: Tsom rau cov ntaub ntawv sib koom ntau dua li latency txo.
03
High - bandwidth nco: Siv GDDR / HBM rau cov ntaub ntawv nkag sai (tseem ceeb rau cov duab / AI).
3. Siv rooj plaub
Same
Cov Kev Ua Haujlwm, Databases, Lub Web Browsing, Ib Leeg - xov apps, kev ua si logic.
Tus hlaws
Ntaub duab: Kev twv txiaj, 3D qauv, video rendering.
Parallel sib piv: Sib sib zog nqus (tensorflow / Pytorch), kev sim ua txuj ci, crypto mining.
Cov teb tawm: AI inference, tiag - lub sijhawm ci ntsa iab.
4. Kev sib piv
01
CPU EXFSNtawm cov haujlwm uas xav tau kev txiav txim sai, ua ntej txiav txim siab (piv txwv li, khiav lub web server).
02
GPU DominatesNyob rau hauv parallelizable workloads (piv txwv li, kev cob qhia neural networks, rendering thav ntawv).
Kev ua tau zoo:
01
CPUs ua ntej ib -} cov tub ntxhais kawm tseem ceeb (piv txwv, 5GHz turbo boost).
02
GPus ua ntej dhau los (ntau dua TDP, piv txwv li, 350W + rau siab-} kawg phaib).
5. Yuav ua li cas lawv ua haujlwm ua ke
Niaj hnub nimno Systems sivCPU + GPU CO - ua:
CPU Saib Xyuas Kev Tswj Flow ntws thiab complex Logic.
GPU accelerates parallel (ntawm cuda, opencl, direcex / vulkan apis).
Piv txwv li: hauv kev twv txiaj, CPU tswj Ai / physics, thaum GPU renders duab.
Yooj yim piv txwv
Same{{0= Tus kws tshaj lij PhD kws qhia kev daws teeb meem nyuaj sai sai.
Tus hlaws{{0= 10, 000 Cov tub ntxhais kawm theem pib daws 10,000 yam teeb meem yooj yim ib zaug.
Ob qho tib si yog qhov tseem ceeb -CPUs rau yooj, gpus rau cov nqaij nyoos pangel.
Ua ntej -} chav kawm kws tshaj lij rau koj kom pom zoo cov kab nrog koj cov kev xav tau. Zoo meej tom qab {{2} Kev Muag Khoom Tso Siab Tsis Zam Koj Cov Kev Txhaum.
Peb qhov chaw nyob
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