Journal of System Simulation
Abstract
Abstract: Domestic high performance computing (HPC) system is world-leading and the system chip architectures are in varied forms. The system operation relied on National Supercomputing Center has a good development trend. Several technical key points of domestic high-performance parallel application software are word-leading and the application supporting environment is developing fast. But industrial software and team building are facing huge challenges. In post Moore era, based on the progress of human civilization, it is necessary to promote the ecological development of parallel application software, and from the viewpoint of software products the industrial software must be aim foreign commercial software at all aspects. The application software cloud, the collaborative optimization of software, hardware and the domain-oriented custom chip architecture and compiler should be concerned. The open source mode, protecting intellectual property right and expert evaluation should be kept pace with the times to ensure the prosperity of the application software ecology.
Recommended Citation
Gong, Chunye; Liu, Jie; Bao, Weimin; Pan, Dongmei; Gan, Xinbiao; Li, Shengguo; Chen, Xuguang; Xiao, Tiaojie; Yang, Bo; and Wang, Ruibo
(2022)
"Review on Ecological Construction of Domestic High-performance Parallel Application Software in Post Moore Era,"
Journal of System Simulation: Vol. 34:
Iss.
10, Article 1.
DOI: 10.16182/j.issn1004731x.joss.21-1365
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss10/1
First Page
2107
Revised Date
2022-02-25
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-1365
Last Page
2118
CLC
TP 391.9
Recommended Citation
Chunye Gong, Jie Liu, Weimin Bao, Dongmei Pan, Xinbiao Gan, Shengguo Li, Xuguang Chen, Tiaojie Xiao, Bo Yang, Ruibo Wang. Review on Ecological Construction of Domestic High-performance Parallel Application Software in Post Moore Era[J]. Journal of System Simulation, 2022, 34(10): 2107-2118.
DOI
10.16182/j.issn1004731x.joss.21-1365
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons