Matrix multiplication is a fundamental computation kernel in many parallel and sequential scientific applications. We target FP32 matrix multiplication on GPUs, a setting required by numerous HPC and scientific workloads. Alternative Basis Matrix Multiplication (ABMM) is a practical Strassen-like algorithm that reduces...
Yao Liu, Ye-Wen Li, Zhong-Hai Zhang et al.· Proceedings of the Internati...· 0 citations
Matrix multiplication is a fundamental computation kernel in many parallel and sequential scientific applications. We target FP32 matrix multiplication on GPUs, a setting required by numerous HPC and scientific workloads. Alternative Basis Matrix Multiplication (ABMM) is a practical Strassen-like algorithm that reduces...
Yao Liu, Ye-Wen Li, Zhonghai Zhang et al.· Proceedings of the Internati...· 0 citations
Analog Computing-in-Memory (ACiM) accelerates deep neural networks by keeping weights inside memory arrays and executing dot products in the analog domain. However, modern ACiM accelerators are often limited by the"ADC wall": analog-to-digital converters consume a large fraction of energy and area, while bit-sliced exe...
Zihao Xuan, Ye-Wen Li, Jia Chen et al.· 0 citations
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