000 | 03848nam a22005295i 4500 | ||
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001 | 978-981-99-4366-1 | ||
003 | DE-He213 | ||
005 | 20240423130043.0 | ||
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008 | 230909s2023 si | s |||| 0|eng d | ||
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_a9789819943661 _9978-981-99-4366-1 |
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024 | 7 |
_a10.1007/978-981-99-4366-1 _2doi |
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050 | 4 | _aQA76.9.E94 | |
072 | 7 |
_aUYD _2bicssc |
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_aCOM074000 _2bisacsh |
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_aUYD _2thema |
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_a004.24 _223 |
100 | 1 |
_aZhai, Jidong. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aPerformance Analysis of Parallel Applications for HPC _h[electronic resource] / _cby Jidong Zhai, Yuyang Jin, Wenguang Chen, Weimin Zheng. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
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300 |
_aXV, 256 p. 1 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aChapter 1. Background and Overview -- Part I. Performance Analysis Methods: Communication Analysis -- Chapter 2. Fast Communication Trace Collection -- Chapter 3. Structure-Based Communication Trace Compression -- Part II. Performance Analysis Methods: Memory Analysis -- Chapter 4. Informed Memory Access Monitoring -- Part III. Performance Analysis Methods: Scalability Analysis -- Chapter 5. Graph Analysis for Scalability Analysis -- Chapter 6. Performance Prediction for Scalability Analysis -- Part IV. Performance Analysis Methods: Noise Analysis -- Chapter 7. Lightweight Noise Detection -- Chapter 8. Production-Run Noise Detection -- Part V. Performance Analysis Framework -- Chapter 9. Domain-Specific Framework for Performance Analysis -- Chapter 10. Conclusion and Future Work. | |
520 | _aThis book presents a hybrid static-dynamic approach for efficient performance analysis of parallel applications on HPC systems. Performance analysis is essential to finding performance bottlenecks and understanding the performance behaviors of parallel applications on HPC systems. However, current performance analysis techniques usually incur significant overhead. Our book introduces a series of approaches for lightweight performance analysis. We combine static and dynamic analysis to reduce the overhead of performance analysis. Based on this hybrid static-dynamic approach, we then propose several innovative techniques for various performance analysis scenarios, including communication analysis, memory analysis, noise analysis, computation analysis, and scalability analysis. Through these specific performance analysis techniques, we convey to readers the idea of using static analysis to support dynamic analysis. To gain the most from the book, readers should have a basic grasp of parallel computing, computer architecture, and compilation techniques. | ||
650 | 0 |
_aElectronic digital computers _xEvaluation. |
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650 | 0 | _aComputers. | |
650 | 1 | 4 | _aSystem Performance and Evaluation. |
650 | 2 | 4 | _aHardware Performance and Reliability. |
700 | 1 |
_aJin, Yuyang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aChen, Wenguang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aZheng, Weimin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789819943654 |
776 | 0 | 8 |
_iPrinted edition: _z9789819943678 |
776 | 0 | 8 |
_iPrinted edition: _z9789819943685 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-99-4366-1 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c184528 _d184528 |