International audienceThe efficiency of a sparse linear algebra operation heavily relies on the ability of the sparse matrix storage format to exploit the computing power of the underlying hardware. Since no format is universally better than the others across all possible kinds of operations and computers, sparse linear algebra software packages should provide facilities to easily implement and integrate new storage formats within a sparse linear algebra application without the need to modify it; it should also allow to dynamically change a storage format at run-time depending on the specific operations to be performed. Aiming at these important features, we present an Object Oriented design model for a sparse linear algebra package which r...
We apply object-oriented software design patterns to develop code for scientific software involving ...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
AbstractThere exist many storage formats for the in-memory representation of sparse matrices. Choosi...
International audienceThe efficiency of a sparse linear algebra operation heavily relies on the abil...
We describe an object oriented sparse matrix library in C++ designed for portability and performance...
We discuss object-oriented software design patterns in the context of scientific computations on spa...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
We discuss the interface design for the Sparse Basic Linear Algebra Subprograms (BLAS), the kernels ...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
Scientific computations and analytical business applications are often based on linear algebra opera...
We apply object-oriented software design patterns to develop code for scientific software involving ...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
Sparse matrix computations are ubiquitous in computational science. However, the development of high...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
We apply object-oriented software design patterns to develop code for scientific software involving ...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
AbstractThere exist many storage formats for the in-memory representation of sparse matrices. Choosi...
International audienceThe efficiency of a sparse linear algebra operation heavily relies on the abil...
We describe an object oriented sparse matrix library in C++ designed for portability and performance...
We discuss object-oriented software design patterns in the context of scientific computations on spa...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
We discuss the interface design for the Sparse Basic Linear Algebra Subprograms (BLAS), the kernels ...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
Scientific computations and analytical business applications are often based on linear algebra opera...
We apply object-oriented software design patterns to develop code for scientific software involving ...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
Sparse matrix computations are ubiquitous in computational science. However, the development of high...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
We apply object-oriented software design patterns to develop code for scientific software involving ...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
AbstractThere exist many storage formats for the in-memory representation of sparse matrices. Choosi...