Add to ORKGWe present a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PBLAS and provides optimized parallel basic linear algebra subprograms for Heterogeneous Computational Clusters. We present the user interface and the software hierarchy of the first research implementation of HeteroPBLAS. This is the first step towards the development of a parallel linear algebra package for Heterogeneous Computational Clusters. We demonstrate the efficiency of the HeteroPBLAS programs on a homogeneous computing cluster and a heterogeneous computing cluster
Abstract. The paper presents a tool that ports ScaLAPACK programs designed to run on massively paral...
The Multicomputer Toolbox includes sparse, dense, and iterative scalable linear algebra libraries. D...
Parallel performance optimization is being applied and further improvements are studied for parallel...
This paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PB...
In this document, we describe two strategies of distribution of computations that can be used to imp...
This paper describes the design and the implementation of parallel routines in the Heterogeneous Sca...
This paper presents and analyzes two different strategies of heterogeneous distribution of computati...
This paper presents a self-optimization methodology for parallel linear algebra rou-tines on heterog...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
The aim of data and task parallel scheduling for dense linear algebra kernels is to minimize the pro...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Abstract. We present an efficient and scalable programming model for the development of linear algeb...
In this document, we describe two strategies of distribution of computations that can be used to imp...
The aim of this course is to introduced the basic usages of the ScaLAPACK and MAGMA libraries ScaLA...
Abstract—Two strategies of distribution of computations can be used to implement parallel solvers fo...
Abstract. The paper presents a tool that ports ScaLAPACK programs designed to run on massively paral...
The Multicomputer Toolbox includes sparse, dense, and iterative scalable linear algebra libraries. D...
Parallel performance optimization is being applied and further improvements are studied for parallel...
This paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PB...
In this document, we describe two strategies of distribution of computations that can be used to imp...
This paper describes the design and the implementation of parallel routines in the Heterogeneous Sca...
This paper presents and analyzes two different strategies of heterogeneous distribution of computati...
This paper presents a self-optimization methodology for parallel linear algebra rou-tines on heterog...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
The aim of data and task parallel scheduling for dense linear algebra kernels is to minimize the pro...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Abstract. We present an efficient and scalable programming model for the development of linear algeb...
In this document, we describe two strategies of distribution of computations that can be used to imp...
The aim of this course is to introduced the basic usages of the ScaLAPACK and MAGMA libraries ScaLA...
Abstract—Two strategies of distribution of computations can be used to implement parallel solvers fo...
Abstract. The paper presents a tool that ports ScaLAPACK programs designed to run on massively paral...
The Multicomputer Toolbox includes sparse, dense, and iterative scalable linear algebra libraries. D...
Parallel performance optimization is being applied and further improvements are studied for parallel...