In this paper, we investigate how to exploit task-parallelism during the execution of the Cholesky factorization on clusters of multicore processors with the SMPSs programming model. Our analysis reveals that the major difficulties in adapting the code for this operation in ScaLAPACK to SMPSs lie in algorithmic restrictions and the semantics of the SMPSs programming model, but also that they both can be overcome with a limited programming effort. The experimental results report considerable gains in performance and scalability of the routine parallelized with SMPSs when compared with conventional approaches to execute the original ScaLAPACK implementation in parallel as well as two recent message-passing routines for this operation. In summ...
The emergence of accelerators as standard computing resources on supercomputers and the subsequent a...
The promise of future many-core processors, with hundreds of threads running concurrently, has led t...
The ScaLAPACK library for parallel dense matrix computations is built on top of the BLACS communicat...
In this paper, we investigate how to exploit task-parallelism during the execution of the Cholesky f...
International audienceTask-based programming models have succeeded in gaining the interest of the hi...
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 ...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
This article discusses the core factorization routines included in the ScaLAPACK library. These rout...
We pursue the scalable parallel implementation of the factor- ization of band matrices with medium ...
Systems of linear equations arise at the heart of many scientific and engineering applications. Many...
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using Ope...
Abstract. We pursue the scalable parallel implementation of the factor-ization of band matrices with...
Abstract. A style for programming problems from matrix algebra is developed with a familiar example ...
Problems in the class of unstructured sparse matrix computations are characterized by highly irregul...
The emergence of accelerators as standard computing resources on supercomputers and the subsequent a...
The promise of future many-core processors, with hundreds of threads running concurrently, has led t...
The ScaLAPACK library for parallel dense matrix computations is built on top of the BLACS communicat...
In this paper, we investigate how to exploit task-parallelism during the execution of the Cholesky f...
International audienceTask-based programming models have succeeded in gaining the interest of the hi...
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 ...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
This article discusses the core factorization routines included in the ScaLAPACK library. These rout...
We pursue the scalable parallel implementation of the factor- ization of band matrices with medium ...
Systems of linear equations arise at the heart of many scientific and engineering applications. Many...
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using Ope...
Abstract. We pursue the scalable parallel implementation of the factor-ization of band matrices with...
Abstract. A style for programming problems from matrix algebra is developed with a familiar example ...
Problems in the class of unstructured sparse matrix computations are characterized by highly irregul...
The emergence of accelerators as standard computing resources on supercomputers and the subsequent a...
The promise of future many-core processors, with hundreds of threads running concurrently, has led t...
The ScaLAPACK library for parallel dense matrix computations is built on top of the BLACS communicat...