Add to ORKGIn this paper we describe our perspective of the issues and strategies involved in state-of-the-art scalable parallel library research and development. We divide the discussion into four key areas: data distribution independence, issues in redistribution, local storage schemes, and the role of poly-algorithms
This article focuses on principles for the design of efficient parallel algorithms for distributed m...
Increased programmability for concurrent applications in distributed systems requires automatic supp...
Abstract. In this paper we explore the parallelization of the scientific library from GNU both on sh...
Library functions for scalable architectures must be designed to correctly and efficiently support a...
First-generation scalable parallel libraries have been achieved, and are maturing, within the Multi...
The overheads in a parallel system that limit its scalability need to be identified and separated in...
Euro-Par Topic 5 addresses data management issues in parallel and distributed computing. Advances in...
Sequential programs which use library calls to perform their intensive numerical computations may no...
Development of parallel software is a very complex task. Many details, such as domain type, partitio...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
In this paper we treat the problem of sub-dividing a database and allocating the fragments to the si...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
Massively parallel computing holds the promise of extreme performance. The utility of these systems ...
Dense linear algebra libraries need to cope efficiently with a range of input problem sizes and shap...
Data locality is a well-recognized requirement for the development of any parallel application, but ...
This article focuses on principles for the design of efficient parallel algorithms for distributed m...
Increased programmability for concurrent applications in distributed systems requires automatic supp...
Abstract. In this paper we explore the parallelization of the scientific library from GNU both on sh...
Library functions for scalable architectures must be designed to correctly and efficiently support a...
First-generation scalable parallel libraries have been achieved, and are maturing, within the Multi...
The overheads in a parallel system that limit its scalability need to be identified and separated in...
Euro-Par Topic 5 addresses data management issues in parallel and distributed computing. Advances in...
Sequential programs which use library calls to perform their intensive numerical computations may no...
Development of parallel software is a very complex task. Many details, such as domain type, partitio...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
In this paper we treat the problem of sub-dividing a database and allocating the fragments to the si...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
Massively parallel computing holds the promise of extreme performance. The utility of these systems ...
Dense linear algebra libraries need to cope efficiently with a range of input problem sizes and shap...
Data locality is a well-recognized requirement for the development of any parallel application, but ...
This article focuses on principles for the design of efficient parallel algorithms for distributed m...
Increased programmability for concurrent applications in distributed systems requires automatic supp...
Abstract. In this paper we explore the parallelization of the scientific library from GNU both on sh...