Edited by
Jack Dongarra, University of Tennessee
Ian Foster, Argonne National Laboratory
Geoffrey Fox, Indiana University, USA
William Gropp, Argonne National Laboratory
Ken Kennedy, Rice University
Linda Torczon, Rice University, Houston, Texas
Andy White, Los Alamos National Laboratory
Description
Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless
computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these
machines remains heavy. The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility
for achieving the vision of scalable parallelism remains in the hands of the application developer.
This book represents the collected
knowledge and experience of over 60 leading parallel computing researchers. They offer students, scientists and engineers a complete
sourcebook with solid coverage of parallel computing hardware, programming considerations, algorithms, software and enabling technologies,
as well as several parallel application case studies. The Sourcebook of Parallel Computing offers extensive tutorials and detailed documentation
of the advanced strategies produced by research over the last two decades
application case studies. The Sourcebook of Parallel Computing
offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades
