Jack Dongarra | Bookhype

Jack Dongarra is a University Distinguished Professor of Electrical Engineering and Computer Science, University of Tennessee, a Distinguished Research Staff, Oak Ridge National Laboratory and a Turning Fellow at the University of Manchester. An ACM/IEEE/ SIAM/AAAS Fellow, Dongarra pioneered the areas of supercomputer benchmarks, numerical analysis, linear algebra solvers, and high-performance computing and published extensively in these areas. He leads the Linpack benchmark evaluation of the Top-500 fastest computers over the years. Based on his high contributions in the supercomputing and high-performance areas, he was elected as a Member of the National Academy of Engineering in the USA.

Jun 15, 2018

Cover of The TOP500

The TOP500 (Chapman & Hall/CRC Computational Science)

Nov 22, 2011

Cover of Distributed and Cloud Computing

Distributed and Cloud Computing

Jan 1, 2009

Cover of High Performance Heterogeneous Computing

High Performance Heterogeneous Computing (Wiley Series on Parallel and Distributed Computing, #78)

Jan 1, 2006

Cover of Applied Parallel Computing. State of the Art in Scientific Computing

Applied Parallel Computing. State of the Art in Scientific Computing (Lecture Notes in Computer Science, #3732) (Theoretical Computer Science and General Issues, #3732)

Nov 8, 1994

Cover of PVM

PVM (Scientific and Engineering Computation)

Jan 1, 1994

Cover of Proceedings of the Second Workshop on Environments and Tools for Parallel Scientific Computing

Proceedings of the Second Workshop on Environments and Tools for Parallel Scientific Computing

Dec 1, 1990

Cover of Solving Linear Systems on Vector and Shared Memory Computers

Solving Linear Systems on Vector and Shared Memory Computers

Sep 1, 1989

Cover of Vector and Parallel Computing

Vector and Parallel Computing (Ellis Horwood Series in Computers and Their Applications)

Dec 31, 1987

Cover of Advance Architecture Computers

Advance Architecture Computers

Jul 1, 1977

Cover of Matrix Eigensystem Routines - EISPACK Guide Extension

Matrix Eigensystem Routines - EISPACK Guide Extension (Lecture Notes in Computer Science, #51)