Efficient Mixed-Precision Tall-and-Skinny Matrix-Matrix Multiplication for GPUs

Author:

Tang Hao1,Komatsu Kazuhiko1,Sato Masayuki1,Kobayashi Hiroaki1

Affiliation:

1. Tohoku University

Publisher

IJNC Editorial Committee

Reference24 articles.

1. [1] NVIDIA. Nvidia tensor cores. https://www.nvidia.com/en-us/data-center/tensorcore, 2019.

2. [2] Google. Google cloud tpu. https://cloud.google.com/tpu.

3. [3] Toshio Yoshida. Fujitsu high performance cpu for the post-k computer. In Hot Chips, volume 30, 2018.

4. [4] Denis Vanderstraeten. A stable and efficient parallel block gram-schmidt algorithm. Lecture Notes in Computer Science, 1685:1128–1135, 1999.

5. [5] NVIDIA. kmeans. https://github.com/NVIDIA/kmeans, 2020.

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1. Detailed Analysis and Optimization of Irregular-Shaped Matrix Multiplication on Multi-Core DSPs;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. FlexGEMM: A Flexible Micro-kernel Generation Framework;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26

3. Optimizing Irregular-Shaped Matrix-Matrix Multiplication on Multi-Core DSPs;2022 IEEE International Conference on Cluster Computing (CLUSTER);2022-09

4. Tuning of a Matrix-Matrix Multiplication Algorithm for Several GPUs Connected by Fast Communication Links;Communications in Computer and Information Science;2022

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