
By Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar
ISBN-10: 1439854343
ISBN-13: 9781439854341
ISBN-10: 1439854351
ISBN-13: 9781439854358
Each quarter of technological know-how and engineering this day has to approach voluminous information units. utilizing distinctive, or maybe approximate, algorithms to unravel intractable difficulties in severe parts, reminiscent of computational biology, takes time that's exponential in many of the underlying parameters. Parallel computing addresses this factor and has turn into cheap with the arrival of multicore architectures. even though, programming multicore machines is way more challenging as a result of oddities latest within the architectures.
Offering insights into diversified features of this zone, Multicore Computing: Algorithms, Architectures, and purposes makes a speciality of the architectures, algorithms, and purposes of multicore computing. it's going to aid readers comprehend the intricacies of those architectures and get ready them to layout effective multicore algorithms.
Contributors on the leading edge of the sphere hide the reminiscence hierarchy for multicore and manycore processors, the caching procedure versatile Set Balancing, the most gains of the most recent SPARC structure specification, the Cilk and Cilk++ programming languages, the numerical software program library Parallel Linear Algebra software program for Multicore Architectures (PLASMA), and the precise multipattern string matching set of rules of Aho-Corasick. additionally they describe the structure and programming version of the NVIDIA Tesla GPU, speak about scheduling directed acyclic graphs onto multi/manycore processors, and overview layout trade-offs between Intel and AMD multicore processors, IBM mobilephone Broadband Engine, and NVIDIA GPUs. moreover, the publication explains how you can layout algorithms for the mobilephone Broadband Engine and the way to exploit the backprojection set of rules for producing pictures from artificial aperture radar facts.
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Additional resources for Multicore Computing: Algorithms, Architectures, and Applications
Sample text
1 Multilevel Inclusion . . . . . . . . . . . . . . . . . . . . . . . . 2 Global Placement . . . . . . . . . . . . . . . . . . . . . . . . . Cache Coherence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Basics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Protocols for Traditional Multiprocessors . . . . . . . . . . . . 3 Protocols for Multicore Systems .
In the past, he has served on the editorial boards of the IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Pervasive and Mobile Computing, and the Proceedings of the IEEE. He serves on the editorial boards of the Journal of Parallel and Distributed Computing and the ACM Transactions on Reconfigurable Technology and Systems. During 2003–2006, he was the Editor in Chief of the IEEE Transactions on Computers.
1 Latency and Bandwidth . . . . . . . . . . . . . . . . . . . . . . 2 Power Consumption . . . . . . . . . . . . . . . . . . . . . . . . Physical Memory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cache Hierarchy Organization . . . . . . . . . . . . . . . . . . . . . . 1 Caches versus Cores . . . . . . .
Multicore Computing: Algorithms, Architectures, and Applications by Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar
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