BLASX

Author:

Wang Linnan1,Wu Wei2,Xu Zenglin3,Xiao Jianxiong4,Yang Yi5

Affiliation:

1. NEC Laboratories, USA and Georgia Institute of Technology and Big Data Res. Center, Univ. of Electr. Sci. & Tech. of China

2. The University of Tennessee, Knoxville

3. Big Data Res. Center, Univ. of Electr. Sci. & Tech. of China

4. Princeton University

5. NEC Laboratories, USA

Publisher

ACM

Cited by 25 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. Quantitative Performance Analysis of BLAS Libraries on GPU Architectures;Deu Muhendislik Fakultesi Fen ve Muhendislik;2024-01-23

2. DeltaSPARSE: High-Performance Sparse General Matrix-Matrix Multiplication on Multi-GPU Systems;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

3. Hiperwalk: Simulation of Quantum Walks with Heterogeneous High-Performance Computing;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17

4. A Task-Duplication Based Clustering Scheduling Algorithm for Heterogeneous Computing System;Lecture Notes in Computer Science;2023

5. Competitive and Collaborative Learning Accelerates the Convergence of Deep Convolutional Neural Networks;2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2022-04-22

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