10 citations · 17 across the 5 of their papers we have counts for
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cs.DC2024★ 10 cited
Performance Enhancement of the Ozaki Scheme on Integer Matrix Multiplication Unit
Yuki Uchino, Katsuhisa Ozaki, Toshiyuki Imamura
This study was aimed at simultaneously achieving sufficient accuracy and high performance for general matrix multiplications. Recent architectures, such as NVIDIA GPUs, feature hig…
cs.DC2023★ 1 cited
DGEMM on Integer Matrix Multiplication Unit
Hiroyuki Ootomo, Katsuhisa Ozaki, Rio Yokota
Deep learning hardware achieves high throughput and low power consumption by reducing computing precision and specializing in matrix multiplication. For machine learning inference,…