Titlebook: High Performance Computing; ISC High Performance Heike Jagode,Hartwig Anzt,Piotr Luszczek Conference proceedings 2021 Springer Nature Switz

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Automatic Partitioning of MPI Operations in MPI+OpenMP Applications actors of one MPI process (e.g. multiple threads) to contribute data to one communication operation. These operations are designed to mitigate current problems in multithreaded MPI programs, with some work suggesting a substantial performance benefit (up?to 26%) when using these operations compared

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Potential of Interpreter Specialization for Data Analysisient due to the overhead of being dynamically typed and interpreted. In this paper, we report the potential performance improvement of domain-specific interpreter specialization for data analysis workloads and evaluate how the characteristics of data analysis workloads affect the specialization, bot

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Refactoring for Performance with Semantic Patching: Case Study with Recipesractices change, APIs of . change, etc. A moment then comes when the entire codebase requires a thorough performance lift. In the luckiest case, the required intervention is limited to a few .. In practice, much more is needed. This paper describes an activity of . refactoring of .200k lines of . co

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Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Revices an equivalent source code in the same or different programming language. S2S techniques are commonly used to enable fluent translation between high-level programming languages, to perform large-scale refactoring operations, and to facilitate instrumentation for dynamic analysis. Negative percept

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0302-9743 include high-performance computing (HPC), computer architecture and hardware, programming models, system software, performance analysis and modeling, compiler a978-3-030-90538-5978-3-030-90539-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Reservoir Computing in Reduced Order Modeling for Chaotic Dynamical Systemsic systems. We start with the baseline Lorenz-63 and 96 systems and show that RC-ESN is extremely effective in consistently predicting time series using Pearson’s cross correlation similarity measure. RC-ESN can accurately forecast Lorenz systems for many Lyapunov time units into the future. In a pr