Automatic Multi-Parameter Performance Modeling of HPC Applications on a New Sunway Supercomputer

Author:

Zhang Yilian1ORCID,Liu Yao1ORCID,Jiao Penglong2ORCID,Zhou Yiping1ORCID,Wei Tongquan3ORCID

Affiliation:

1. School of Data Science and Engineering, East China Normal University, Shanghai, China

2. Shanghai Artificial Intelligence Laboratory, Shanghai, China

3. School of Computer Science and Technology, East China Normal University, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Laoshan Laboratory

Ministry of Education's University-Industry Collaborative Education Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Reference33 articles.

1. Performance modeling for MPI applications with low overhead fine-grained profiling

2. Predicting HPC parallel program performance based on LLVM compiler

3. Neural operator: Graph kernel network for partial differential equations;li,2020

4. On universal approximation and error bounds for Fourier neural operators;kovachki;J Mach Learn Res,2021

5. Efficient NAS Benchmark Kernels with C++ Parallel Programming

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2. Parallel optimization of plasma single particle simulation program based on Sunway Bluelight II supercomputer;Proceedings of the 2024 8th International Conference on High Performance Compilation, Computing and Communications;2024-06-07

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