Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engineers to use a high-level language to program cluster computers. The Matlab*P user writes code in the Matlab language. Parallelism is available via data-parallel operations on distributed objects and via task-parallel operations on multiple objects. Matlab*P can store distributed matrices in either full or sparse format. As in Matlab, most matrix operations apply equally to full or sparse operands. Here, we describe the design and implementation of Matlab*P’s sparse matrix support, and an application to a problem in computational fluid dynamics
The matrix-vector product is one of the most important computational components of Krylov methods. T...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
We present NTPoly, a massively parallel library for computing the functions of sparse, symmetric mat...
Abstract. Matlab*P is a flexible interactive system that enables com-putational scientists and engin...
The purpose of this project was to provide sparse matrix functionality to the users of MATLAB*P. It ...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientifi...
We describe an object oriented sparse matrix library in C++ designed for portability and performance...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growin...
MATLAB is a high-level language and environment for numerical computation, visualization, and progra...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
We present the PaToH MATLAB Matrix Partitioning Interface. The interface pro-vides support for hyper...
The matrix-vector product is one of the most important computational components of Krylov methods. T...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
We present NTPoly, a massively parallel library for computing the functions of sparse, symmetric mat...
Abstract. Matlab*P is a flexible interactive system that enables com-putational scientists and engin...
The purpose of this project was to provide sparse matrix functionality to the users of MATLAB*P. It ...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientifi...
We describe an object oriented sparse matrix library in C++ designed for portability and performance...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growin...
MATLAB is a high-level language and environment for numerical computation, visualization, and progra...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
We present the PaToH MATLAB Matrix Partitioning Interface. The interface pro-vides support for hyper...
The matrix-vector product is one of the most important computational components of Krylov methods. T...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
We present NTPoly, a massively parallel library for computing the functions of sparse, symmetric mat...