We investigate the use of the SMPSs programming model to leverage task parallelism in the execution of a message-pas sing implementation of the symmetric rank- k update on clusters equipped with multicore processors. Our experience shows that the major difficulties to adapt the code to the MPI/SMPSs instance of this programming model are due to the usage of the conventional column-major layout of matrices in numerical libraries. On the other hand, the experimental results show a considerable increase in the performance and scalability of our solution when compared with the standard options based on the use of a pure MPI approach or a hybrid one that combines MPI/multi-threaded BLAS.Peer Reviewe
MPI / OpenMP mixed mode codes could potentially offer the most effective parallelisation strategy fo...
Communication overhead is one of the dominant factors affecting performance in high-end computing sy...
Clusters of symmetric multiprocessors (SMPs) have emerged as the primary candidates for large scale ...
We investigate the use of the SMPSs programming model to leverage task parallelism in the execution ...
Abstract. We investigate the use of the SMPSs programming model to leverage task parallelism in the ...
In this paper, we investigate how to exploit task-parallelism during the execution of the Cholesky f...
Our study proposes a novel MPI-only parallel programming model with improved performance for SMP clu...
We describe a methodology for developing high performance programs running on clusters of SMP no...
Clusters of SMPs are ubiquitous. They have been traditionally programmed by using MPI. But, the prod...
We describe a methodology for developing high performance programs running on clusters of SMP nodes....
In this paper we discuss the application of an hybrid programming paradigm that combines message-pas...
The parallelization process of nested-loop algorithms onto popular multi-level parallel architectur...
The symmetric multiprocessing (SMP) cluster system, which consists of shared memory nodes with sever...
Over the last few decades, Message Passing Interface (MPI) has become the parallel-communication sta...
Our study proposes a Reducing-size Task Assignation technique (RTA), which is a novel approach to so...
MPI / OpenMP mixed mode codes could potentially offer the most effective parallelisation strategy fo...
Communication overhead is one of the dominant factors affecting performance in high-end computing sy...
Clusters of symmetric multiprocessors (SMPs) have emerged as the primary candidates for large scale ...
We investigate the use of the SMPSs programming model to leverage task parallelism in the execution ...
Abstract. We investigate the use of the SMPSs programming model to leverage task parallelism in the ...
In this paper, we investigate how to exploit task-parallelism during the execution of the Cholesky f...
Our study proposes a novel MPI-only parallel programming model with improved performance for SMP clu...
We describe a methodology for developing high performance programs running on clusters of SMP no...
Clusters of SMPs are ubiquitous. They have been traditionally programmed by using MPI. But, the prod...
We describe a methodology for developing high performance programs running on clusters of SMP nodes....
In this paper we discuss the application of an hybrid programming paradigm that combines message-pas...
The parallelization process of nested-loop algorithms onto popular multi-level parallel architectur...
The symmetric multiprocessing (SMP) cluster system, which consists of shared memory nodes with sever...
Over the last few decades, Message Passing Interface (MPI) has become the parallel-communication sta...
Our study proposes a Reducing-size Task Assignation technique (RTA), which is a novel approach to so...
MPI / OpenMP mixed mode codes could potentially offer the most effective parallelisation strategy fo...
Communication overhead is one of the dominant factors affecting performance in high-end computing sy...
Clusters of symmetric multiprocessors (SMPs) have emerged as the primary candidates for large scale ...