this paper argues that a useful metric for parallel algorithm analysis should be consistent, quantitative, predictive and relevant. In this argument, a metric is consistent if independent researchers analyzing the same algorithm on the same architecture will arrive at similar conclusions. A metric is quantitative if
. In the development of efficient parallel applications, reliable performance predictions are essent...
We introduce a novel methodology for the quantitative assessment of the effectiveness and portabilit...
AbstractPerformance benchmarks should be embedded in comprehensive frameworks that suitably set thei...
This paper discusses a scalability metric based on the cost effectiveness of parallel algorithms. Un...
Scalability measurements of parallel applications are of significant interest to the evaluation and ...
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...
Abstract. When computer architects re-invented parallelism through multi-core processors, applicatio...
In the above raport the usage of the statistical methods to predict the efficiency of the parallel a...
Measuring the performance of parallel codes is a compromise between lots of factors. The most import...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Abstract — A parallel program should be evaluated to determine its efficiency, accuracy and benefits...
. In the development of efficient parallel applications, reliable performance predictions are essent...
We introduce a novel methodology for the quantitative assessment of the effectiveness and portabilit...
AbstractPerformance benchmarks should be embedded in comprehensive frameworks that suitably set thei...
This paper discusses a scalability metric based on the cost effectiveness of parallel algorithms. Un...
Scalability measurements of parallel applications are of significant interest to the evaluation and ...
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...
Abstract. When computer architects re-invented parallelism through multi-core processors, applicatio...
In the above raport the usage of the statistical methods to predict the efficiency of the parallel a...
Measuring the performance of parallel codes is a compromise between lots of factors. The most import...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Abstract — A parallel program should be evaluated to determine its efficiency, accuracy and benefits...
. In the development of efficient parallel applications, reliable performance predictions are essent...
We introduce a novel methodology for the quantitative assessment of the effectiveness and portabilit...
AbstractPerformance benchmarks should be embedded in comprehensive frameworks that suitably set thei...