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Findings And Analysis Dissertation Example Dropping down into the SM architecture the new design allows 35% more performance per CUDA core on shader limited tasks and to achieve this NVIDIA re-wrote the algorithms and scheduler to minimise stalls/bottlenecks. In addition the layout has also changed with each SM now split into four processing blocks with their own buffer, scheduler and CUDA cores. During this re-configuration NVIDIA also removed the non-power-of-two CUDA core sharing with the new partitioning simplifying design and scheduling logic to save space, power and latency. Each pair of processing blocks shares four texture filtering units and cache and the L1 cache is combines with texture cache with a separate shared memory unit. So, each SM is smaller which offering 90% of the performance of Kepler SM units. Combine those smaller units and you get 25% more peak texture performance, 1.7x more CUDA cores and 2.3x shader performance. Essay Writing On My Best Friend

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