HALO TRANSFER FOR CONVOLUTION WORKLOAD PARTITION
A DNN accelerator includes multiple compute tiles for sharing a workload of running a convolution. A halo pipeline in a compute tile can facilitate replications of halo data from the compute tile where the halo data is generated into another compute tile. The halo pipeline may receive a memory trans...
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creator | GRYMEL, Martin-Thomas BERNARD, David Thomas HANRAHAN, Niall |
description | A DNN accelerator includes multiple compute tiles for sharing a workload of running a convolution. A halo pipeline in a compute tile can facilitate replications of halo data from the compute tile where the halo data is generated into another compute tile. The halo pipeline may receive a memory transaction for writing a data block. The halo pipeline may determine that the data block falls into a halo region in an input tensor of the convolution. The halo pipeline may generate a remote address for storing the data block in a memory of the other compute tile, e.g., based on a local address of the data block in a memory of the compute tile. The halo pipeline may adjust the remote address, e.g., based on a difference in dimensions of a tensor to be used by the compute tile and a tensor to be used by the other compute tile. |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
title | HALO TRANSFER FOR CONVOLUTION WORKLOAD PARTITION |
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