Predicting the Soft Error Vulnerability of Parallel Applications Using Machine Learning

IF 0.9 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS International Journal of Parallel Programming Pub Date : 2021-03-28 DOI:10.1007/s10766-021-00707-0
Işıl Öz, Sanem Arslan
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来源期刊
International Journal of Parallel Programming
International Journal of Parallel Programming 工程技术-计算机:理论方法
CiteScore
4.40
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: International Journal of Parallel Programming is a forum for the publication of peer-reviewed, high-quality original papers in the computer and information sciences, focusing specifically on programming aspects of parallel computing systems. Such systems are characterized by the coexistence over time of multiple coordinated activities. The journal publishes both original research and survey papers. Fields of interest include: linguistic foundations, conceptual frameworks, high-level languages, evaluation methods, implementation techniques, programming support systems, pragmatic considerations, architectural characteristics, software engineering aspects, advances in parallel algorithms, performance studies, and application studies.
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