Add to ORKGthis paper, we show some performance results from an implemention of a data-parallel programming language on the *T parallel computer [4]. The measure of performance used is the amount of overhead incurred by executing the parallel program in comparison to executing a sequential program with the same functionality. In this paper, we call this overhead "parallel overhead"
We present the methodology, as well as results of measurements and evaluation of overhead created by...
Data parallel languages are gaining interest as it becomes clear that they support a wider range of ...
Many problems currently require more processor throughput than can be achieved with current single-p...
International audienceIn this paper, the problem of evaluating the performance of parallel programs ...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
A method for assessing the benefits of fine-grain paral-lelism in "real " programs is pres...
Abstract — A parallel program should be evaluated to determine its efficiency, accuracy and benefits...
The area of parallelizing compilers for distributed memory multicomputers has seen considerable rese...
The success of parallel architectures has been limited by the lack of high-level parallel programmin...
© 2017, The Author(s). A number of scientific applications run on current HPC systems would benefit ...
A new technique for estimating and understanding the speed improvement that can result from executin...
We analyse the inherent performance of parallel software. For this end we use a task graph to model ...
Despite the performance potential of parallel systems, several factors have hindered their widesprea...
Parallel Efficiency Efficiency: effectiveness of parallel algorithm relative to its serial counterpa...
Parallel computers with tens of thousands of processors are typically programmed in a data parallel ...
We present the methodology, as well as results of measurements and evaluation of overhead created by...
Data parallel languages are gaining interest as it becomes clear that they support a wider range of ...
Many problems currently require more processor throughput than can be achieved with current single-p...
International audienceIn this paper, the problem of evaluating the performance of parallel programs ...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
A method for assessing the benefits of fine-grain paral-lelism in "real " programs is pres...
Abstract — A parallel program should be evaluated to determine its efficiency, accuracy and benefits...
The area of parallelizing compilers for distributed memory multicomputers has seen considerable rese...
The success of parallel architectures has been limited by the lack of high-level parallel programmin...
© 2017, The Author(s). A number of scientific applications run on current HPC systems would benefit ...
A new technique for estimating and understanding the speed improvement that can result from executin...
We analyse the inherent performance of parallel software. For this end we use a task graph to model ...
Despite the performance potential of parallel systems, several factors have hindered their widesprea...
Parallel Efficiency Efficiency: effectiveness of parallel algorithm relative to its serial counterpa...
Parallel computers with tens of thousands of processors are typically programmed in a data parallel ...
We present the methodology, as well as results of measurements and evaluation of overhead created by...
Data parallel languages are gaining interest as it becomes clear that they support a wider range of ...
Many problems currently require more processor throughput than can be achieved with current single-p...