Introduction In general, a parallel computer is a computer that has multiple processors connected by a communication network and is capable of using all its processors simultaneously to solve a single problem [34]. Parallel computers have the computational power necessary to solve many of computational science's "grand challenge" problems [27, 34]. However, it can be quite difficult to write programs that perform well on parallel machines. The research proposed here is concerned with performance prediction as a programming and performance debugging tool for parallel computers. 1.1 Parallel Programming Paradigms To solve a problem on a parallel computer, the programmer divides the problem into pieces which are then distribu...
As computers with tens of thousands of processors successfully deliver high performance power for so...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...
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...
In this paper we studied performance predictions for parallel scientific applications on a homogeneo...
The performance of a computer system is important. One way of improving performance is to use multip...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Parallel computing is essential for solving very large scientific and engineering problems. An effec...
Programming parallel computers for performance is a difficult task that requires careful attention t...
The original publication can be found at www.springerlink.comThis paper gives an overview of two rel...
High-performance computing is essential for solving large problems and for reducing the time to solu...
The authors present a brief overview of the development of benchmarks for parallel performance analy...
The shift towards multicore processing has led to a much wider population of developers being faced ...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
As computers with tens of thousands of processors successfully deliver high performance power for so...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...
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...
In this paper we studied performance predictions for parallel scientific applications on a homogeneo...
The performance of a computer system is important. One way of improving performance is to use multip...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Parallel computing is essential for solving very large scientific and engineering problems. An effec...
Programming parallel computers for performance is a difficult task that requires careful attention t...
The original publication can be found at www.springerlink.comThis paper gives an overview of two rel...
High-performance computing is essential for solving large problems and for reducing the time to solu...
The authors present a brief overview of the development of benchmarks for parallel performance analy...
The shift towards multicore processing has led to a much wider population of developers being faced ...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
As computers with tens of thousands of processors successfully deliver high performance power for so...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...