Reproduced Computational Results Report for "Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing"

被引:0
作者
Balos, Cody J. [1 ]
机构
[1] Lawrence Livermore Natl Lab, 7000 East Ave, Livermore, CA 94550 USA
来源
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE | 2022年 / 48卷 / 01期
关键词
High performance computing; healthy software lifecycle; multicore and manycore architectures;
D O I
10.1145/3480936
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The article titled "Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing" by Anzt et al. presents a modern, linear operator centric, C++ library for sparse linear algebra. Experimental results in the article demonstrate that Ginkgo is a flexible and user-friendly framework capable of achieving high-performance on state-of-the-art GPU architectures. In this report, the Ginkgo library is installed and a subset of the experimental results are reproduced. Specifically, the experiment that shows the achieved memory bandwidth of the Ginkgo Krylov linear solvers on NVIDIA A100 and AMD MI100 GPUs is redone and the results are compared to what presented in the published article. Upon completion of the comparison, the published results are deemed reproducible.
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页数:7
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