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Distant Cache Prefetching in CNN Algorithms Run on CPU
Konstantin Bick(빅콘스탄틴),Hyun Kim(김현) 대한전자공학회 2018 대한전자공학회 학술대회 Vol.2018 No.6
As the availability of CPUs still outnumbers FPGAs and GPUs, further analysis of CNN algorithms run on CPU is important. The weak performance of CNN algorithms run on CPUs is further degraded by high cache miss rates in the CNN’s convolution layers which effectively limit the required bandwidth between cache and CPU. Thus, this paper proposes distant prefetching, a new idea in cache prefetching that proves to increase performance over exisiting schemes like Stride Prefetcher or Tagged Prefetcher for CNN algortihms. The improved performance is shown in simulations of VGGnet and TinyYOLO (v2) on the gem5 simulator.