Numerical Toolkit Research Articles

Developing numerical libraries in Java

SUMMARY The rapid and widespread adoption of Java has created a demand for reliable and reusable mathematical software components to support the growing number of computationally intensive applications now under development, particularly in science and engineering. In this paper we address practical issues of the Java language and environment which have an effect on numerical library design and development. Benchmarks which illustrate the current levels of performance of key numerical kernels on a variety of Java platforms are presented. Finally, a strategy for the development of a fundamental numerical toolkit for Java is proposed and its current status is described. ©1998 John Wiley & Sons, Ltd.

Template Numerical Toolkit for Linear Algebra: High Performance Programming With C++ and the Standard Template Library

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++).