Add to ORKGA model for the execution time of parallel algorithms on processor arrays is described. The model is validated for the conjugate gradient algorithm on the eight processor Finite Element Machine at NASA Langley Research Center. Model predictions are also included for this algorithm on a larger array as the number of processors and system parameters are varied
Computer performance modeling of possibly complex computations running on highly concurrent systems ...
Abstract. We propose a model for describing the parallel performance of multigrid software on distri...
Mathematicians and computational scientists are often limited in their ability to model complex phen...
The development of a new graph theoretic model for describing the relation between a decomposed algo...
We propose a model for describing the parallel performance of multigrid software on distributed mem...
Consistently growing architectural complexity and machine scales make creating accurate performance ...
In this paper, we describe a model for determining the optimal data and computation decomposition fo...
Parametric micro-level (PM) performance models are introduced to address the important issue of how ...
Abstract—We propose a probabilistic model for the parallel execution of Las Vegas algorithms, i.e. r...
Prediction of the performance of parallel applications is a concept useful in several domains of sof...
We present a model of multithreaded computation with an emphasis on estimat-ing parallelism overhead...
Predicting sequential execution blocks of a large scale parallel application is an essential part of...
The performance of a computer system is important. One way of improving performance is to use multip...
Correctly estimating the speed-up of a parallel embedded application is crucial to efficiently compa...
International audienceWe propose a probabilistic model for the parallel execution of Las Vegas algor...
Computer performance modeling of possibly complex computations running on highly concurrent systems ...
Abstract. We propose a model for describing the parallel performance of multigrid software on distri...
Mathematicians and computational scientists are often limited in their ability to model complex phen...
The development of a new graph theoretic model for describing the relation between a decomposed algo...
We propose a model for describing the parallel performance of multigrid software on distributed mem...
Consistently growing architectural complexity and machine scales make creating accurate performance ...
In this paper, we describe a model for determining the optimal data and computation decomposition fo...
Parametric micro-level (PM) performance models are introduced to address the important issue of how ...
Abstract—We propose a probabilistic model for the parallel execution of Las Vegas algorithms, i.e. r...
Prediction of the performance of parallel applications is a concept useful in several domains of sof...
We present a model of multithreaded computation with an emphasis on estimat-ing parallelism overhead...
Predicting sequential execution blocks of a large scale parallel application is an essential part of...
The performance of a computer system is important. One way of improving performance is to use multip...
Correctly estimating the speed-up of a parallel embedded application is crucial to efficiently compa...
International audienceWe propose a probabilistic model for the parallel execution of Las Vegas algor...
Computer performance modeling of possibly complex computations running on highly concurrent systems ...
Abstract. We propose a model for describing the parallel performance of multigrid software on distri...
Mathematicians and computational scientists are often limited in their ability to model complex phen...