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20192025
most citedFPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters

24 citations · 47 across the 7 of their papers we have counts for

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cs.AR2025

Exploring the Performance Improvement of Tensor Processing Engines through Transformation in the Bit-weight Dimension of MACs

Qizhe Wu, Huawen Liang, Yuchen Gui +9

General matrix-matrix multiplication (GEMM) is a cornerstone of AI computations, making tensor processing engines (TPEs) increasingly critical in GPUs and domain-specific architect…