FT-iSort

Author:

Li Sihuan1,Li Hongbo1,Liang Xin1,Chen Jieyang2,Giem Elisabeth1,Ouyang Kaiming1,Zhao Kai1,Di Sheng3,Cappello Franck3,Chen Zizhong1

Affiliation:

1. University of California

2. Oak Ridge National Laboratory

3. Argonne National Laboratory

Funder

National Science Foundation

U.S. Department of Energy

Publisher

ACM

Reference42 articles.

1. [n. d.]. Bebop. ([n. d.]). Retrieved August 16 2019 from https://www.lcrc.anl.gov/systems/resources/bebop/ [n. d.]. Bebop. ([n. d.]). Retrieved August 16 2019 from https://www.lcrc.anl.gov/systems/resources/bebop/

2. Quicksort with Unreliable Comparisons: A Probabilistic Analysis

Cited by 5 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. FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs;IEEE Transactions on Parallel and Distributed Systems;2023-12

2. Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs;Proceedings of the 37th International Conference on Supercomputing;2023-06-21

3. Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems;Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2023-02-21

4. A Comprehensive Review on Power Efficient Fault Tolerance Models in High Performance Computation Systems;September 2021;2021-08-07

5. FT-BLAS;Proceedings of the ACM International Conference on Supercomputing;2021-06-03

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