Limited Offer
Parallel Programming in OpenMP
- 1st Edition - October 2, 2000
- Authors: Rohit Chandra, Ramesh Menon, Leo Dagum, David Kohr, Dror Maydan, Jeff McDonald
- Language: English
- Paperback ISBN:9 7 8 - 1 - 5 5 8 6 0 - 6 7 1 - 5
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 5 1 3 5 3 - 9
The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient way to program these systems. At the same time,… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quote
The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient way to program these systems. At the same time, developers of technical and scientific applications in industry and in government laboratories find they need to parallelize huge volumes of code in a portable fashion. OpenMP, developed jointly by several parallel computing vendors to address these issues, is an industry-wide standard for programming shared-memory and distributed shared-memory multiprocessors. It consists of a set of compiler directives and library routines that extend FORTRAN, C, and C++ codes to express shared-memory parallelism.
Parallel Programming in OpenMP is the first book to teach both the novice and expert parallel programmers how to program using this new standard. The authors, who helped design and implement OpenMP while at SGI, bring a depth and breadth to the book as compiler writers, application developers, and performance engineers.
- No. of pages: 240
- Language: English
- Edition: 1
- Published: October 2, 2000
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9781558606715
- eBook ISBN: 9780080513539
RC
Rohit Chandra
Rohit Chandra is currently a Chief Scientist at NARUS, Inc., a provider of internet business infrastructure solutions. He previously was a Principal Engineer in the Compiler Group of Silicon Graphics, where he helped design and implement OpenMP.
RM
Ramesh Menon
LD
Leo Dagum
Leonardo Dagum currently works for Silicon Graphics in the Linux Server Platform Group where he is responsible for the I/O infrastructure in SGI's scalable Linux server systems. He helped define the OpenMP Fortran API. His research interests include parallel algorithms and performance modeling for parallel systems.
DK
David Kohr
DM
Dror Maydan
JM