Comments deemed to be spam or solely promotional in nature will be deleted.With more cache located on-chip, fewer requests to the GPU’s DRAM are needed, which reduces overall board power, reduces memory bandwidth demand, and improves performance. In comparison, GK110’s L2 cache was 1536 KB, while GM200 shipped with 3072 KB of L2 cache. GP100 features a unified 4096 KB L2 cache that provides efficient, high speed data sharing across the GPU. This 2:1 ratio of single precision (SP) units to double precision (DP) units aligns better with GP100’s new datapath configuration, allowing the GPU to process DP workloads more efficiently. A full GP100 GPU has 1920 FP64 CUDA Cores. While a GP100 SM has half the total number of CUDA Cores of a Maxwell SM, it maintains the same register file size and supports similar occupancy of warps and thread blocks.Įach SM in GP100 features 32 double precision (FP64) CUDA Cores, which is one-half the number of FP32 single precision CUDA Cores. The GP100 SM is partitioned into two processing blocks, each having 32 single-precision CUDA Cores, an instruction buffer, a warp scheduler, and two dispatch units. In contrast, the Maxwell and Kepler SMs had 128 and 192 FP32 CUDA Cores, respectively. GP100’s SM incorporates 64 single-precision (FP32) CUDA Cores. The Tesla P100 accelerator uses 56 SM units Download NVIDIA Pascal Whitepaper ()įigure 7 shows a full GP100 GPU with 60 SM units (different products can use different configurations of GP100).
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