03470oam 22004815 450 99655055980331620231220164620.0981-9943-66-310.1007/978-981-99-4366-1(MiAaPQ)EBC30736802(Au-PeEL)EBL30736802(DE-He213)978-981-99-4366-1(PPN)272740748(EXLCZ)992817272400004120230909d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPerformance analysis of parallel applications for HPC /Jidong Zhai, Yuyang Jin, Wenguang Chen, Weimin Zheng1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (xv, 256 pages) illustrationsPrint version: Zhai, Jidong Performance Analysis of Parallel Applications for HPC Singapore : Springer,c2023 9789819943654 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.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 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.High performance computingParallel programs (Computer programs)High performance computing.Parallel programs (Computer programs)004.35Zhai Jidong1427800Jin Yuyang1427801Chen Wenguang1427802Zheng Weimin1427803MiAaPQMiAaPQMiAaPQBOOK996550559803316Performance Analysis of Parallel Applications for HPC3562734UNISA