Performance Analysis of Parallel Applications for HPC

This 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 p...

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Autors principals: Zhai, Jidong (Autor), Jin, Yuyang (Autor), Chen, Wenguang (Autor), Zheng, Weimin (Autor)
Autor corporatiu: SpringerLink (Online service)
Format: Electrònic eBook
Idioma:anglès
Publicat: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edició:1st ed. 2023.
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Accés en línia:https://doi.org/10.1007/978-981-99-4366-1
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Taula de continguts:
  • Chapter 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.