Abstract. Performance profiling generates measurement overhead during parallel program execution. Measurement overhead, in turn, introduces intrusion in a program’s runtime performance behavior. In-trusion can be mitigated by controlling instrumentation degree, allowing a tradeoff of accuracy for detail. Alternatively, the accuracy in profile results can be improved by reducing the intrusion error due to mea-surement overhead. Models for compensation of measurement overhead in parallel performance profiling are described. An approach based on rational reconstruction is used to understand properties of compensa-tion solutions for different parallel scenarios. From this analysis, a general algorithm for on-the-fly overhead assessment and comp...
The IPS-2 parallel program measurement tools pro-vide performance data from application programs, th...
© 2018 The Author(s). Porting scientific key algorithms to HPC architectures requires a thorough und...
Although there are many situations in which a model of application performance is valuable, performa...
Abstract. Tracing parallel programs to observe their performance introduces in-trusion as the result...
Abstract. Performance profiling of MPI programs generates overhead during execution that introduces ...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...
A new approach to monitoring the runtime behaviour of parallel programs will be presented. Our appro...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
Most performance debugging and tuning of parallel programs is based on the "measure-modify"...
There are many metrics designed to assist in the performance debugging of large-scale parallel appli...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
The CPUs, memory, interconnection network, operating system, runtime system, I/O subsystem, and appl...
Software based instrumentation is frequently used to measure the performance of parallel and distrib...
Performance observability is the ability to accurately capture, analyze, and present (collectively o...
The popularity of parallel systems for building high performance software only continues to rise. Pr...
The IPS-2 parallel program measurement tools pro-vide performance data from application programs, th...
© 2018 The Author(s). Porting scientific key algorithms to HPC architectures requires a thorough und...
Although there are many situations in which a model of application performance is valuable, performa...
Abstract. Tracing parallel programs to observe their performance introduces in-trusion as the result...
Abstract. Performance profiling of MPI programs generates overhead during execution that introduces ...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...
A new approach to monitoring the runtime behaviour of parallel programs will be presented. Our appro...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
Most performance debugging and tuning of parallel programs is based on the "measure-modify"...
There are many metrics designed to assist in the performance debugging of large-scale parallel appli...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
The CPUs, memory, interconnection network, operating system, runtime system, I/O subsystem, and appl...
Software based instrumentation is frequently used to measure the performance of parallel and distrib...
Performance observability is the ability to accurately capture, analyze, and present (collectively o...
The popularity of parallel systems for building high performance software only continues to rise. Pr...
The IPS-2 parallel program measurement tools pro-vide performance data from application programs, th...
© 2018 The Author(s). Porting scientific key algorithms to HPC architectures requires a thorough und...
Although there are many situations in which a model of application performance is valuable, performa...