1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.DC2023
Reducing shared memory footprint to leverage high throughput on Tensor Cores and its flexible API extension library
Hiroyuki Ootomo, Rio Yokota
NVIDIA Tensor Core is a mixed-precision matrix-matrix multiplication and addition computing unit, where the theoretical peak performance is more than 300 TFlop/s on NVIDIA A100 GPU…
cs.DC2023
Mixed-Precision Random Projection for RandNLA on Tensor Cores
Hiroyuki Ootomo, Rio Yokota
Random projection can reduce the dimension of data while capturing its structure and is a fundamental tool for machine learning, signal processing, and information retrieval, which…
cs.DC2023★ 1 cited
Custom 8-bit floating point value format for reducing shared memory bank conflict in approximate nearest neighbor search
Hiroyuki Ootomo, Akira Naruse
The k-nearest neighbor search is used in various applications such as machine learning, computer vision, database search, and information retrieval. While the computational cost of…