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Dmazerunner: Optimizing Convolutions On Dataflow Accelerators
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Dmazerunner: Optimizing Convolutions On Dataflow Accelerators
Convolution neural networks (CNNs) can be efficiently executed on dataflow accelerators. However, the vast space of executing convolutions on computational and memory resources of accelerators makes difficult for programmers to automatically and efficient
Convolution neural networks (CNNs) can be efficiently executed on dataflow accelerators. However, the vast space of executing convolutions on computational and memory resources of accelerators makes difficult for programmers to automatically and efficient
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