Scientific Computing with Multicore and Accelerators
1st Edition
Published on 7. December 2010
514 pages
978-1-4398-2537-2 (ISBN)
Description
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial perfo
More details
Series
Edition
1. Auflage
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Researchers in high performance computing, parallel computing, and supercomputing; software developers and programmers; researchers in computational engineering, fluid dynamics, physics, and biology.
Illustrations
163 s/w Abbildungen, 37 s/w Tabellen
163 b/w images, 37 tables and 5 in text boxes
ISBN-13
978-1-4398-2537-2 (9781439825372)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jakub Kurzak | David A. Bader | Jack Dongarra
Scientific Computing with Multicore and Accelerators
Book
06/2017
1st Edition
CRC Press
€111.40
Shipment within 10-20 days
Jakub Kurzak | David A. Bader | Jack Dongarra
Scientific Computing with Multicore and Accelerators
Book
12/2010
1st Edition
CRC Press
€278.55
Shipment within 15-20 days
Persons
Jakub Kurzak is a research director in the Innovative Computing Laboratory in the Department of Electrical Engineering and Computer Science at the University of Tennessee. Dr. Kurzak is a program committee member for several international conferences and a reviewer for a number of top-ranking journals. His research focuses on utilizing multicore systems and accelerators for scientific computing.
David A. Bader is a professor in the School of Computational Science and Engineering, College of Computing, and executive director for High Performance Computing at the Georgia Institute of Technology. He is a lead scientist in the DARPA Ubiquitous High Performance Computing (UHPC) program, an associate editor for several high-impact journals, and editor of the book Petascale Computing: Algorithms and Applications (CRC Press, 2008). An IEEE Fellow and member of the ACM, Dr. Bader has been an NSF CAREER Award recipient and has received awards from IBM, NVIDIA, Intel, Sun Microsystems, and Microsoft Research. His main areas of research are in parallel algorithms, combinatorial optimization, and computational biology and genomics.
Jack Dongarra is a University Distinguished Professor of Electrical Engineering and Computer Science at the University of Tennessee, where he is the director of the Innovative Computing Laboratory and the director of the Center for Information Technology Research. He also is a member of the Distinguished Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory, a Turing Fellow at the University of Manchester, and an adjunct professor in the Department of Computer Science at Rice University. A Fellow of the AAAS, ACM, IEEE, and SIAM, Dr. Dongarra has received numerous awards, including the first SIAM Special Interest Group on Supercomputing award for Career Achievement,
David A. Bader is a professor in the School of Computational Science and Engineering, College of Computing, and executive director for High Performance Computing at the Georgia Institute of Technology. He is a lead scientist in the DARPA Ubiquitous High Performance Computing (UHPC) program, an associate editor for several high-impact journals, and editor of the book Petascale Computing: Algorithms and Applications (CRC Press, 2008). An IEEE Fellow and member of the ACM, Dr. Bader has been an NSF CAREER Award recipient and has received awards from IBM, NVIDIA, Intel, Sun Microsystems, and Microsoft Research. His main areas of research are in parallel algorithms, combinatorial optimization, and computational biology and genomics.
Jack Dongarra is a University Distinguished Professor of Electrical Engineering and Computer Science at the University of Tennessee, where he is the director of the Innovative Computing Laboratory and the director of the Center for Information Technology Research. He also is a member of the Distinguished Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory, a Turing Fellow at the University of Manchester, and an adjunct professor in the Department of Computer Science at Rice University. A Fellow of the AAAS, ACM, IEEE, and SIAM, Dr. Dongarra has received numerous awards, including the first SIAM Special Interest Group on Supercomputing award for Career Achievement,
Content
Dense Linear Algebra. Sparse Linear Algebra. Multigrid Methods. Fast Fourier Transforms. Combinatorial Algorithms. Stencil Algorithms. Bioinformatics. Molecular Modeling. Complementary Topics. Index.
