首页|Critique of “Productivity, Portability, Performance Data-Centric Python” by SCC Team From Sun Yat-sen University

Critique of “Productivity, Portability, Performance Data-Centric Python” by SCC Team From Sun Yat-sen University

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  • NSTL
  • IEEE
In SC21, Ziogas et al. proposedData-Centric (DaCe) Python. It attains high performance and portability, and further extends the original productivity of Python. This paper analyzes the reproducibility of the DaCe paper as part of the SC22 Student Cluster Competition (SCC). The reproduction experiments are conducted on the Azure CycleCloud. Different from the DaCe paper, we use AMD EPYC 7V73X processors for CPU-based experiments. We successfully reproduce most of the results of the DaCe paper. The remaining results are also explainable.

PythonBenchmark testingStandardsCodesRuntimeGraphics processing unitsSoftware

Han Huang、Tengyang Zheng、Tianxing Yang、Yang Ye、Siran Liu、Zhe Tang、Shengyou Lu、Guangnan Feng、Zhiguang Chen、Dan Huang

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Department of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2025

10.1109/TPDS.2024.3372291

IEEE transactions on parallel and distributed systems

IEEE transactions on parallel and distributed systems

SCI
ISSN：
年,卷(期)：2025.36(5)
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