Abstract: This paper presents a 7-step, semi-systematic approach for designing and implementing parallel algorithms. In this paper, the target implementation uses MPI for message passing. The approach is applied to a family of matrix factorization algorithms – LU, QR, and Cholesky – which share a common structure, namely, that the second factor of each is upper right triangular. The efficacy of the approach is demonstrated by implementing, tuning, and timing execution on two commercially available multiprocessor computers
Abstract: The paper considers a development of approach to construction of parallel algori...
International audienceAs multicore systems continue to gain ground in the high performance computing...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper describes ...
This paper is concerned with parallel algorithms for matrix factorization on distributed-memory, mes...
The bottleneck of most data analyzing systems, signal processing systems, and intensive computing sy...
This paper represents the first attempt towards a decomposition-independent implementation of parall...
Abstract. A style for programming problems from matrix algebra is developed with a familiar example ...
The solution of dense systems of linear equations is at the heart of numerical computations. Such sy...
Two issues in linear algebra algorithms for multicomputers are addressed. First, how tounify paralle...
The objective of this paper is to extend, in the context of multicore architectures, the concepts of...
In this paper, we analyse and compare the techniques of algorithmic blocking and (storage blocking w...
The idea using polynomial factorization for speeding up the computation of Buchberger's Gröbner...
Due to the evolution of massively parallel computers towards deeper levels of parallelism and memory...
Abstract. The objective of this paper is to extend, in the context of multicore architectures, the c...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
Abstract: The paper considers a development of approach to construction of parallel algori...
International audienceAs multicore systems continue to gain ground in the high performance computing...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper describes ...
This paper is concerned with parallel algorithms for matrix factorization on distributed-memory, mes...
The bottleneck of most data analyzing systems, signal processing systems, and intensive computing sy...
This paper represents the first attempt towards a decomposition-independent implementation of parall...
Abstract. A style for programming problems from matrix algebra is developed with a familiar example ...
The solution of dense systems of linear equations is at the heart of numerical computations. Such sy...
Two issues in linear algebra algorithms for multicomputers are addressed. First, how tounify paralle...
The objective of this paper is to extend, in the context of multicore architectures, the concepts of...
In this paper, we analyse and compare the techniques of algorithmic blocking and (storage blocking w...
The idea using polynomial factorization for speeding up the computation of Buchberger's Gröbner...
Due to the evolution of massively parallel computers towards deeper levels of parallelism and memory...
Abstract. The objective of this paper is to extend, in the context of multicore architectures, the c...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
Abstract: The paper considers a development of approach to construction of parallel algori...
International audienceAs multicore systems continue to gain ground in the high performance computing...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper describes ...