会议信息

PP 2024: SIAM Conference on Parallel Processing for Scientific Computing

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截稿日期:
2023-06-30
通知日期:
会议日期:
2024-03-05
会议地点:
Baltimore, Maryland, USA
届数:
24
浏览: 22209   关注: 0   参加: 0

征稿

PP 2024 (SIAM Conference on Parallel Processing for Scientific Computing) is an academic conference held in Baltimore, Maryland, USA on 2024-03-05. The paper submission deadline is 2023-06-30.

This is the conference of the SIAM Activity Group on Supercomputing. Society for Industrial and Applied Mathematics is proud to present the Twentieth Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in promoting parallel scientific computing, algorithms for parallel systems, and parallel numerical algorithms. The conference is unique in its emphasis on the intersection between high performance scientific computing and scalable algorithms, architectures, and software. The conference provides a forum for communication among the applied mathematics, computer science, and computational science and engineering communities. Included Themes Compilers and programming systems Data analysis and visualization Education in HPC Fault-tolerance Large-scale parallel applications Parallel computer systems Performance analysis, tuning, and debugging Reproducibility Scalable parallel algorithms Scientific workflows Contributions are especially welcome in: Algorithms and applications on multiphysics and multiscale computing Frontiers of scientific computing Integration of scientific computing and machine learning methods Post Moore systems and algorithms Verification, validation, and uncertainty quantification
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相关期刊

CCF全称影响因子出版商ISSN
Journal of Scientific Computing3.3Springer0885-7474
aSIAM Journal on ComputingSIAM0097-5397
Scientific Data6.9Springer2052-4463
Scientific and Technical Information Processing0.4Springer0147-6882
bSIAM Journal on Imaging SciencesSIAM1936-4954
cSIAM Journal on Discrete MathematicsSIAM0895-4801
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
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