We present a new C++ library design for linear algebra computations on high performance architectures. The template numerical toolkit (TNT) for linear algebra is a successor to the Lapack++, Sparselib++, and IM L++ pack-ages, providing support for direct and iterative solvers. Its goal is to formally integrate these ideas into a generic algorithm library supporting user-defined data types and data neutrality. The design of the core library uses compo-nents from the C++ standard template library (STL) and the basic parallel extensions defined in High Performance C++ (HPC++)
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
We address the low popularity of C++ in computational science by introducing a set of orthogonal lib...
The Multicomputer Toolbox includes sparse, dense, and iterative scalable linear algebra libraries. D...
We present a generic programming methodology for expressing data structures and algorithms for high-...
Tpetra is a C++ library for linear algebra computations on high-performance distributed node systems...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
The increasing complexity of new parallel architectures has widened the gap between adaptability and...
This work addresses how the C++ programming language can be extended through libraries to enhance an...
The increasing availability of advanced-architecture computers is having a very significant effect o...
A study of the existing linear algebra libraries that you can use from C++Une étude des bibliothèque...
International audienceThe increasing complexity of new parallel architectures has widened the gap be...
In this report we provide an overview of the open source Armadillo C++ linear algebra library (matri...
International audienceHighly structured sparse matrices arise frequently from numerical discretizati...
Abstract. We present a systematic methodology for deriving and implementing linear algebra libraries...
Abstract. The Standard Template Adaptive Parallel Library (stapl) is a high-productivity parallel pr...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
We address the low popularity of C++ in computational science by introducing a set of orthogonal lib...
The Multicomputer Toolbox includes sparse, dense, and iterative scalable linear algebra libraries. D...
We present a generic programming methodology for expressing data structures and algorithms for high-...
Tpetra is a C++ library for linear algebra computations on high-performance distributed node systems...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
The increasing complexity of new parallel architectures has widened the gap between adaptability and...
This work addresses how the C++ programming language can be extended through libraries to enhance an...
The increasing availability of advanced-architecture computers is having a very significant effect o...
A study of the existing linear algebra libraries that you can use from C++Une étude des bibliothèque...
International audienceThe increasing complexity of new parallel architectures has widened the gap be...
In this report we provide an overview of the open source Armadillo C++ linear algebra library (matri...
International audienceHighly structured sparse matrices arise frequently from numerical discretizati...
Abstract. We present a systematic methodology for deriving and implementing linear algebra libraries...
Abstract. The Standard Template Adaptive Parallel Library (stapl) is a high-productivity parallel pr...
We describe the design of ScaLAPACK++, an object oriented C++ library for implementing linear algebr...
We address the low popularity of C++ in computational science by introducing a set of orthogonal lib...
The Multicomputer Toolbox includes sparse, dense, and iterative scalable linear algebra libraries. D...