Automatic GPU Data Compression and Address Swizzling for CPUs via Modified Virtual Address Translation
We describe how to modify hardware page translation to enable CPU software access to
compressed and swizzled GPU data arrays as if they were decompressed and stored in row-
major order. In a shared memory system, this allows CPU to directly access the GPU data
without copying the data or losing the performance and bandwidth benefits of using
compression and swizzling on the GPU. Our method is flexible enough to support a wide
variety of existing and future swizzling and compression schemes, including block-based …
compressed and swizzled GPU data arrays as if they were decompressed and stored in row-
major order. In a shared memory system, this allows CPU to directly access the GPU data
without copying the data or losing the performance and bandwidth benefits of using
compression and swizzling on the GPU. Our method is flexible enough to support a wide
variety of existing and future swizzling and compression schemes, including block-based …
We describe how to modify hardware page translation to enable CPU software access to compressed and swizzled GPU data arrays as if they were decompressed and stored in row-major order. In a shared memory system, this allows CPU to directly access the GPU data without copying the data or losing the performance and bandwidth benefits of using compression and swizzling on the GPU.
Our method is flexible enough to support a wide variety of existing and future swizzling and compression schemes, including block-based lossless compression that requires per-block meta-data.
Providing automatic compression can improve performance, even without considering the cost of copying data. In our experiments, we observed up to 33% reduction in CPU/memory energy use and up to 35% reduction in CPU computation time.
ACM Digital Library以上显示的是最相近的搜索结果。 查看全部搜索结果