As workstation clusters gain popularity as a parallel computing platform,there is an increasing need for performance tools that support these platforms. Performance prediction is important for performance analysis of scalable parallel applications. Although there are several performance tools available that work with PVM programs,none are capable of performance prediction. We have developed the APACHE (Automated PVM Application Characterization Environment) performance prediction system for PVM programs running on workstation clusters. We review the system implementation and present some experimental results obtained with the system. 1
Paradyn is a performance tool for large-scale parallel applications By using dynamic instrumentatio...
Model-based performance prediction for parallel applications on architectural models suffers from si...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...
The advantages of workstation clusters as a parallel computing platform include a superior price--pe...
In this paper we studied performance predictions for parallel scientific applications on a homogeneo...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
Context. Today’s parallel systems are widely used in different computational tasks. Developing paral...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
High-performance computing is essential for solving large problems and for reducing the time to solu...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
High-performance computing is essential for solving large problems and for reducing the time to solu...
In a virtualized heterogeneous cluster, for a distributed parallel application which runs in multipl...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Paradyn is a performance tool for large-scale parallel applications By using dynamic instrumentatio...
Model-based performance prediction for parallel applications on architectural models suffers from si...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...
The advantages of workstation clusters as a parallel computing platform include a superior price--pe...
In this paper we studied performance predictions for parallel scientific applications on a homogeneo...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
Context. Today’s parallel systems are widely used in different computational tasks. Developing paral...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
High-performance computing is essential for solving large problems and for reducing the time to solu...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
High-performance computing is essential for solving large problems and for reducing the time to solu...
In a virtualized heterogeneous cluster, for a distributed parallel application which runs in multipl...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Paradyn is a performance tool for large-scale parallel applications By using dynamic instrumentatio...
Model-based performance prediction for parallel applications on architectural models suffers from si...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...