Analyzing PICL trace data with MEDEA

机译：使用mEDEa分析pICL跟踪数据

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摘要

Execution traces and performance statistics can be collected for parallel applications on a variety of multiprocessor platforms by using the Portable Instrumented Communication Library (PICL). The static and dynamic performance characteristics of performance characteristics of performance data can be analyzed easily and effectively with the facilities provided within the MEasurements Description Evaluation and Analysis tool (MEDEA). A case study is then outlined that uses PICL and MEDEA to characterize the performance of a parallel benchmark code executed on different hardware platforms and using different parallel algorithms and communication protocols.

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Merlo; Worley, PH;
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年度 1994
页码 1-30
总页数 30
原文格式 PDF
正文语种 eng
中图分类工业技术;
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Foreign technology; EDB/990200;

机译：国外技术; EDB / 990200;

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6. Dataset of the analyzing trace elements and minerals via ICP-MS: Method validation for the mammalian tissue and serum samples [O] . Duygu Aydemir, Gulsu Simsek, Nuriye Nuray Ulusu 2020

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7. Analyzing PICL Trace Data with MEDEA [O] . Alessandro P. Merlo, Patrick H. Worley 1994

机译：使用mEDEa分析pICL跟踪数据
8. Analyzing PICL trace data with MEDEA. [R] . Merlo, A. P., Worley, P. H. 1993

机译：使用mEDEa分析pICL跟踪数据。

Analyzing PICL trace data with MEDEA

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