The Trilinos Project is an effort to facilitate the design, development, integration, and
ongoing support of mathematical software libraries within an object-oriented framework for …

Obtaining the eigenvalues and eigenvectors of large matrices is a key problem in electronic
structure theory and many other areas of computational science. The computational effort …

Parallelizing dense matrix computations to distributed memory architectures is a well-
studied subject and generally considered to be among the best understood domains of …

This paper presents the Parallel BGL, a generic C++ library for distributed graph
computation. Like the sequential Boost Graph Library (BGL) upon which it is based, the …

This is the first text explaining how to use the bulk synchronous parallel (BSP) model and the
freely available BSPlib communication library in parallel algorithm design and parallel …

We introduce the concept of “coded computing”, a novel computing paradigm that utilizes
coding theory to effectively inject and leverage data/computation redundancy to mitigate …

In this article we present a systematic approach to the derivation of families of high-
performance algorithms for a large set of frequently encountered dense linear algebra …

This article discusses the high-performance parallel implementation of the computation and
updating of QR factorizations of dense matrices, including problems large enough to require …

This paper presents and analyzes two different strategies of heterogeneous distribution of
computations solving dense linear algebra problems on heterogeneous networks of …

This unique reference weaves together the principles and theoretical models of parallel
computing with the design, analysis, and application of algorithms for solving statistical …