Programming on Parallel Machines: GPU, Multicore, Clusters and More

Author / Organization:
Parallel Computing and Programming Published 2012 1686.4 KB ✓ Verified Direct PDF

Overview & Synopsis

Parallel machines provide a wonderful opportunity for applications with large computational requirements. Effeective use of these machines, though, requires a keen understanding of how they work. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing.

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Document Information

Document Title Programming on Parallel Machines: GPU, Multicore, Clusters and More
Author / Organization Norm Matloff
Subject & Discipline Parallel Computing and Programming, Algorithms and Data Structures, Computational Complexity, Computational and Algorithmic Mathematics
Categories Parallel Computing and Programming
Publication Year 2012
License / Rights CC BY-ND 3.0 US
Resource Verification ✓ Verified Direct PDF Available
Alternative Mirrors & Links
Original Host Website FreeComputerBooks.com (freecomputerbooks.com)
File Format application/pdf (Portable Document Format)
Reported File Size 1686.4 KB (1,726,860 bytes)
Language ENGLISH
Catalog ID DOC-103305
Original Source Link Visit Source Page on freecomputerbooks.com »