Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the

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Yes, you can access Multicore Computing by Sanguthevar Rajasekaran,Lance Fiondella,Mohamed Ahmed,Reda A. Ammar in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.

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Index

Cover Page
Halftitle Page
CHAPMAN & HALL/CRC COMPUTER and INFORMATION SCIENCE SERIES
Title Page
Copyright Page
Dedication Page
Dedication Page
Contents
Preface
Acknowledgements
List of Contributing Editors
List of Contributing Authors
Chapter 1 Memory Hierarchy for Multicore and Many-Core Processors
Chapter 2 FSB: A Flexible Set-Balancing Strategy for Last-Level Caches
Chapter 3 The SPARC Processor Architecture
Chapter 4 The Cilk and Cilk++ Programming Languages
Chapter 5 Multithreading in the PLASMA Library
Chapter 6 Efficient Aho-Corasick String Matching on Emerging Multicore Architectures
Chapter 7 Sorting on a Graphics Processing Unit (GPU)
Chapter 8 Scheduling DAG-Structured Computations
Chapter 9 Evaluating Multicore Processors and Accelerators for Dense Numerical Computations
Chapter 10 Sorting on the Cell Broadband Engine
Chapter 11 GPU Matrix Multiplication
Chapter 12 Backprojection Algorithms for Multicore and GPU Architectures

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