活动简介
The workshop is concerned with experimental practices in parallel computing research. We are interested in research works that address the statistically rigorous analysis of experimental data and visualization techniques of these data. We also encourage researchers to state best practices to conduct experiments and papers that report experiences obtained when trying to reproduce or repeat experiments of others. The workshop also welcomes papers on new tools for experimental computational sciences, e.g., tools to archive large experimental data sets and the source code that generated the (e.g., workflow systems, experimental testbeds).
征稿信息
重要日期
征稿范围
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Experimental design of parallel computing experiments
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Experiences and best practices for conducting experiments (including papers that address the reproduction of other articles)
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Supporting reproducibility in experimental testbeds for parallel computing
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Tools for reproducible research (e.g., control of experiments, versioning, archiving)
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Analysis of experimental data (e.g., visualization, statistical analysis, provenance)
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Automated uncertainty quantification for experimental workflows (or data-focused workflows)
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Systems to incorporate (potentially very large) data into automated testing frameworks
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Sustainable models for public data sharing
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Ideas on Artifact Evaluation in Distributed Computing and HPC
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Improving the Review process in Parallel Computing
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Open Science and Parallel Computing
全部留言
重要日期
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06月02日
2017
会议日期
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02月02日 2017
初稿截稿日期
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02月24日 2017
初稿录用通知日期
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06月02日 2017
注册截止日期
留言