Garg Law Firm, PLLC
Deep learning accelerator architecture with chunking GEMM
A compute matrix is configured to include a set of compute units, each compute unit including a multiplier and an accumulator, each of the multiplier and the accumulator formed using at least one floating point unit (FPU). An accumulator array is configured to include a set of external accumulators. The compute matrix is operated to produce a chunk dot-product using a first chunk of a first input vector and a first chunk of a second input vector. The accumulator array is operated to output a dot-product of the first input vector and the second input vector using the chunk dot-product.
INTERNATIONAL BUSINESS MACHINES CORPORATION
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Naigang Kailash Daniel Jungwook
Wang Gopalakrishnan Brand Choi