Programming python
ScaLAPACK user's guide
Efficient management of parallelism in object-oriented numerical software libraries
Modern software tools for scientific computing
ADIC: an extensible automatic differentiation tool for ANSI-C
Software—Practice & Experience
LAPACK Users' guide (third ed.)
LAPACK Users' guide (third ed.)
Achieving high sustained performance in an unstructured mesh CFD application
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Toward a Common Component Architecture for High-Performance Scientific Computing
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
SuperLU Users'' Guide
Nonlinear magnetohydrodynamics simulation using high-order finite elements
Journal of Computational Physics
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
Parallel Eigensolvers for a Discretized Radiative Transfer Problem
High Performance Computing for Computational Science - VECPAR 2008
PyACTS: a high-level framework for fast development of high performance applications
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
Evaluation of linear solvers for astrophysics transfer problems
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
High-level user interfaces for the DOE ACTS collection
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
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The ACTS Collection brings together a number of general-purpose computational tools that were developed by independent research projects mostly funded and supported by the U.S. Department of Energy. These tools tackle a number of common computational issues found in many applications, mainly implementation of numerical algorithms, and support for code development, execution, and optimization. In this article, we introduce the numerical tools in the collection and their functionalities, present a model for developing more complex computational applications on top of ACTS tools, and summarize applications that use these tools. Last, we present a vision of the ACTS project for deployment of the ACTS Collection by the computational sciences community.