Critical Path Profiling is a technique that provides guidance to help programmers try to improve the running time of their program. However, Critical Path Profiling provides only an upper bound estimate of the improvement possible in a parallel program execution. In this paper, we present a new metric, called Slack, to complement Critical Path and provide additional information to parallel programmers about the potential impact of making improvements along the critical path. 1
Parallel architectures, like the transputer-based multicomputer network, offer potentially enormous...
Bottlenecks and imbalance in parallel programs can significantly affect performance of parallel exec...
Granularity control is a method to improve parallel execution performance by limiting excessive para...
A programming tool that performs analysis of critical paths for parallel programs has been developed...
There are many metrics designed to assist in the performance debugging of large-scale parallel appli...
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...
Efficient performance tuning of parallel programs is often hard. Optimization is often done when t...
The evolution of computers is moving more and more towards multi-core processors and parallel progra...
Program activity graphs (PAGs) can be constructed from timestamped traces of appropriate execution e...
Software engineers now face the difficult task of parallelizing serial programs for parallel executi...
Analyzing multi-threaded programs is quite challenging, but is necessary to obtain good multicore pe...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...
Detecting critical paths in traditional message pass-ing parallel programs can be useful for post-mo...
We analyse the inherent performance of parallel software. For this end we use a task graph to model ...
Parallel architectures, like the transputer-based multicomputer network, offer potentially enormous...
Bottlenecks and imbalance in parallel programs can significantly affect performance of parallel exec...
Granularity control is a method to improve parallel execution performance by limiting excessive para...
A programming tool that performs analysis of critical paths for parallel programs has been developed...
There are many metrics designed to assist in the performance debugging of large-scale parallel appli...
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...
Efficient performance tuning of parallel programs is often hard. Optimization is often done when t...
The evolution of computers is moving more and more towards multi-core processors and parallel progra...
Program activity graphs (PAGs) can be constructed from timestamped traces of appropriate execution e...
Software engineers now face the difficult task of parallelizing serial programs for parallel executi...
Analyzing multi-threaded programs is quite challenging, but is necessary to obtain good multicore pe...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...
Detecting critical paths in traditional message pass-ing parallel programs can be useful for post-mo...
We analyse the inherent performance of parallel software. For this end we use a task graph to model ...
Parallel architectures, like the transputer-based multicomputer network, offer potentially enormous...
Bottlenecks and imbalance in parallel programs can significantly affect performance of parallel exec...
Granularity control is a method to improve parallel execution performance by limiting excessive para...