Add to ORKGAbstract. In this paper we explore the parallelization of the scientific library from GNU both on shared-memory and distributed-memory architectures. A pair of classical operations, arising in sparse linear algebra and discrete mathematics, allow us to identify the major challenges involved in this task, and to analyze the performance, benefits, and drawbacks of two different possible parallelization approaches.
Massively parallel processors introduces new demands on software systems with respect to performance...
SuperLU_DIST is a distributed memory parallel solver for sparse linear systems. The solver makes sev...
Massively parallel computing holds the promise of extreme performance. The utility of these systems ...
Abstract. In this paper we present our efforts towards the design and development of a parallel vers...
In this paper, we present our joint efforts to design and develop parallel implementations of the GN...
Abstract — In this paper we present our joint efforts towards the development of a parallel version ...
Parallel or distributed processing is key to getting highest performance workstations. However, desi...
In this paper, we present the main algorithmic features in the software package SuperLU DIST, a dis...
This paper outlines the content and performance of ScaLAPACK, a collection of mathematical software ...
Bulk synchronous parallel architectures oer the prospect of achieving both scalable parallel perform...
Massively parallel processors introduce new demands on software systems with respect to performance,...
In this paper we describe our perspective of the issues and strategies involved in state-of-the-art ...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Get to know two different techniques in retrieving parallelism hidden in a general purpose linear pr...
Massively parallel processors introduces new demands on software systems with respect to performance...
SuperLU_DIST is a distributed memory parallel solver for sparse linear systems. The solver makes sev...
Massively parallel computing holds the promise of extreme performance. The utility of these systems ...
Abstract. In this paper we present our efforts towards the design and development of a parallel vers...
In this paper, we present our joint efforts to design and develop parallel implementations of the GN...
Abstract — In this paper we present our joint efforts towards the development of a parallel version ...
Parallel or distributed processing is key to getting highest performance workstations. However, desi...
In this paper, we present the main algorithmic features in the software package SuperLU DIST, a dis...
This paper outlines the content and performance of ScaLAPACK, a collection of mathematical software ...
Bulk synchronous parallel architectures oer the prospect of achieving both scalable parallel perform...
Massively parallel processors introduce new demands on software systems with respect to performance,...
In this paper we describe our perspective of the issues and strategies involved in state-of-the-art ...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Get to know two different techniques in retrieving parallelism hidden in a general purpose linear pr...
Massively parallel processors introduces new demands on software systems with respect to performance...
SuperLU_DIST is a distributed memory parallel solver for sparse linear systems. The solver makes sev...
Massively parallel computing holds the promise of extreme performance. The utility of these systems ...