A versatile software systolic execution model for GPU memory-bound kernels

Author:

Chen Peng1,Wahib Mohamed1,Takizawa Shinichiro1,Takano Ryousei1,Matsuoka Satoshi2

Affiliation:

1. National Institute of Advanced Industrial Science and Technology

2. RIKEN Center for Computational, Science, Hyogo, Japan

Funder

JST-CREST

Publisher

ACM

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. POPA: Expressing High and Portable Performance across Spatial and Vector Architectures for Tensor Computations;Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays;2024-04

2. ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores;Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2024-02-20

3. PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications;Proceedings of the 37th International Conference on Supercomputing;2023-06-21

4. Revisiting Temporal Blocking Stencil Optimizations;Proceedings of the 37th International Conference on Supercomputing;2023-06-21

5. Reducing shared memory footprint to leverage high throughput on Tensor Cores and its flexible API extension library;Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region;2023-02-27

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