Memory Tiling Optimization for Neural NetworksVisualization of memory tiling optimization technique for neural networks. The diagram compares standard memory access patterns that cause cache misses with optimized tiled access patterns that improve cache efficiency and reduce memory latency.Memory Tiling Optimization (e.g., in torch.compile)Before: Standard ConvolutionLarge Input Feature Map(Requires loading entirely)Compute UnitGlobal GPU MemoryLoad Entire MapLarge memory transfer per operation.Potential for cache thrashing (if map `>` cache).Cache Locality: PoorAfter: Tiled ConvolutionFull Map (in Global Mem)Tile 1L1 Cache(Fast Access)Tile 1Global MemoryLoad TileComputeSmall tiles loaded sequentially into L1 cache.Computation reuses data within fast cache.Cache Locality: Goodtorch.compile(Applies Tiling)
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