Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir
Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir
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DOI：
10.1007/978-3-642-31476-6_7
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发表时间：
2011
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通讯作者：
A. Knüpfer;C. Rössel;Dieter an Mey;Scott Biersdorff;Kai Diethelm;Dominic Eschweiler;M. Geimer;Michael Gerndt;Daniel Lorenz;A. Malony;Wolfgang E. Nagel;Yury Oleynik;Peter Philippen;P. Saviankou;Dirk Schmidl;S. Shende;R. Tschüter;Michael Wagner;Bert Wesarg;Felix Wolf
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作者：
A. Knüpfer;C. Rössel;Dieter an Mey;Scott Biersdorff;Kai Diethelm;Dominic Eschweiler;M. Geimer;Michael Gerndt;Daniel Lorenz;A. Malony;Wolfgang E. Nagel;Yury Oleynik;Peter Philippen;P. Saviankou;Dirk Schmidl;S. Shende;R. Tschüter;Michael Wagner;Bert Wesarg;Felix Wolf
本文概述了由领先的高性能计算工具组共同开发的Score-P性能测量基础设施。它从开发者和用户的角度激发了联合企业的优势，并介绍了新开发的Score-P性能度量基础架构的设计和组件。此外，它包含了与现有绩效工具比较的首次评估结果，并对新系统的长期合作发展提出了展望。
This paper gives an overview about the Score-P performance measurement infrastructure which is being jointly developed by leading HPC performance tools groups. It motivates the advantages of the joint undertaking from both the developer and the user perspectives, and presents the design and components of the newly developed Score-P performance measurement infrastructure. Furthermore, it contains first evaluation results in comparison with existing performance tools and presents an outlook to the long-term cooperative development of the new system.