Parallel implementation of the dense linear algebra operations is a well understood process but the availability of high performance, general purpose parallel dense linear algebra libraries is limited by the complexity of implementation. This paper describe PLSS – (Parallel Linear System Solver)- a library which provides routines for linear system solving with an interface easy to use, close to the natural description of sequential linear algebra algorithms. PLSS was developed in C using the MPI library for communication and the BLAS library for local computations. PLSS implements direct methods for dense linear systems, based on LU and Cholesky factorizations
textOver the last two decades, much progress has been made in the area of the high-performance sequ...
International audienceThis work deals with parallelism in linear algebra routines. We propose a doma...
Abstract: Many different numerical algorithms contain the solution of lin-ear equation systems as a ...
HDSS (Huge Dense Linear System Solver) is a Fortran Application Programming Interface (API) to facil...
Abstract In this document we present a new approach to developing sequential and parallel dense line...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
In this paper we consider the data distribution and data movement issues related to the solution of ...
International audienceIn this talk we will discuss our research activities on the design of parallel...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
The linear system of equations with dense coefficient matrix is very common in science and engineeri...
The Multicomputer Toolbox includes sparse, dense, and iterative scalable linear algebra libraries. D...
The increasing complexity of new parallel architectures has widened the gap between adaptability and...
In this paper, we describe the design and implementation of the Platform Independent Parallel Solver...
We describe some extensions to Parallel Sparse BLAS (PSBLAS), a library of routines providing basic ...
We describe some extensions to Parallel Sparse BLAS (PSBLAS), a library of routines providing basic ...
textOver the last two decades, much progress has been made in the area of the high-performance sequ...
International audienceThis work deals with parallelism in linear algebra routines. We propose a doma...
Abstract: Many different numerical algorithms contain the solution of lin-ear equation systems as a ...
HDSS (Huge Dense Linear System Solver) is a Fortran Application Programming Interface (API) to facil...
Abstract In this document we present a new approach to developing sequential and parallel dense line...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
In this paper we consider the data distribution and data movement issues related to the solution of ...
International audienceIn this talk we will discuss our research activities on the design of parallel...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
The linear system of equations with dense coefficient matrix is very common in science and engineeri...
The Multicomputer Toolbox includes sparse, dense, and iterative scalable linear algebra libraries. D...
The increasing complexity of new parallel architectures has widened the gap between adaptability and...
In this paper, we describe the design and implementation of the Platform Independent Parallel Solver...
We describe some extensions to Parallel Sparse BLAS (PSBLAS), a library of routines providing basic ...
We describe some extensions to Parallel Sparse BLAS (PSBLAS), a library of routines providing basic ...
textOver the last two decades, much progress has been made in the area of the high-performance sequ...
International audienceThis work deals with parallelism in linear algebra routines. We propose a doma...
Abstract: Many different numerical algorithms contain the solution of lin-ear equation systems as a ...