We describe the design and implementation of two components in the LinBox library. The first is an implementation of black box matrix multiplication as a lazy matrixtimes-matrix product. The implementation uses template meta-programming to set the intermediate vector type used during application of the matrix product. We also describe an interface mechanism that allows incorporation of external components with native memory management such as garbage collection into LinBox. An implementation of the interface based on SACLIB’s field arithmetic procedures is presented
We present a generic programming methodology for expressing data structures and algorithms for high-...
This article outlines the content and performance of some of the ScaLAPACK software. ScaLAPACK is a ...
Matrices are essential in many fields of computer science, especially when large amounts of data mus...
LinBox is a C++ template library of routines for solution of linear algebra problems including linea...
(eng) LinBox is a high-performance generic software library for black box linear algebra over symbol...
We first expose in this memoir efficient matrix multiplication techniques. We set up new schedules t...
Dans ce mémoire de thèse, nous développons d'abord des multiplications matricielles efficaces. Nous ...
International audienceTo maximize efficiency in time and space, allocations and deallocations, in th...
We describe in this paper new design techniques used in the C++ ex-act linear algebra library LinBox...
The implementations of matrix multiplication on contemporary, vector-oriented, and multicore-oriente...
International audienceWe describe in this paper new design techniques used in the C++ exact linear a...
For a few decades, numerical linear algebra has seen intensive developments in both mathematical an...
We have implemented the Bernoulli generic programming system for sparse matrix computations. What di...
We present a generic programming methodology for expressing data structures and algorithms for high-...
This article outlines the content and performance of some of the ScaLAPACK software. ScaLAPACK is a ...
Matrices are essential in many fields of computer science, especially when large amounts of data mus...
LinBox is a C++ template library of routines for solution of linear algebra problems including linea...
(eng) LinBox is a high-performance generic software library for black box linear algebra over symbol...
We first expose in this memoir efficient matrix multiplication techniques. We set up new schedules t...
Dans ce mémoire de thèse, nous développons d'abord des multiplications matricielles efficaces. Nous ...
International audienceTo maximize efficiency in time and space, allocations and deallocations, in th...
We describe in this paper new design techniques used in the C++ ex-act linear algebra library LinBox...
The implementations of matrix multiplication on contemporary, vector-oriented, and multicore-oriente...
International audienceWe describe in this paper new design techniques used in the C++ exact linear a...
For a few decades, numerical linear algebra has seen intensive developments in both mathematical an...
We have implemented the Bernoulli generic programming system for sparse matrix computations. What di...
We present a generic programming methodology for expressing data structures and algorithms for high-...
This article outlines the content and performance of some of the ScaLAPACK software. ScaLAPACK is a ...
Matrices are essential in many fields of computer science, especially when large amounts of data mus...