This paper discusses a methodology for diagnosing performance problems for parallel and distributed programs. The methodology is based on the formulation and testing of hypotheses about the cause of performance bottlenecks. The process is illustrated with a case study of an actual problem arising in a parallel discrete event simulation program in which granularity is a primary bottleneck and barrier implementation is a secondary bottleneck. The paper also describes the evolution of Chitra, a software performance measurement and analysis tool whose objective is to automate certain steps in software performance diagnosis. 2 1 Introduction Tools that reduce the human time required to diagnose performance problems in parallel and distributed ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Scienti c parallel programs often undergo signicant performance tuning before meeting their performa...
Detection, diagnosis and mitigation of performance problems in today\u27s large-scale distributed an...
The shift towards multicore processing has led to a much wider population of developers being faced ...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
Programming parallel computers for performance is a difficult task that requires careful attention t...
Debugging parallel/distributed programs is an iterative process, alternating between correctness deb...
Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of ...
The amount of parallelism in modern supercomputers currently grows from generation to generation. Fu...
Tuning and debugging the performance of parallel applications is an iterative process consisting of ...
Debugging parallel/distributed programs is an iterative process, alternating between correctness deb...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
The amount of parallelism in modern supercomputers currently grows from generation to generation, an...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Scienti c parallel programs often undergo signicant performance tuning before meeting their performa...
Detection, diagnosis and mitigation of performance problems in today\u27s large-scale distributed an...
The shift towards multicore processing has led to a much wider population of developers being faced ...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
Programming parallel computers for performance is a difficult task that requires careful attention t...
Debugging parallel/distributed programs is an iterative process, alternating between correctness deb...
Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of ...
The amount of parallelism in modern supercomputers currently grows from generation to generation. Fu...
Tuning and debugging the performance of parallel applications is an iterative process consisting of ...
Debugging parallel/distributed programs is an iterative process, alternating between correctness deb...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
The amount of parallelism in modern supercomputers currently grows from generation to generation, an...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
High-performance computing is essential for solving large problems and for reducing the time to solu...