High Performance Parallelism Pearls Volume One: Multicore and Many-core Programming Approaches
Description:
High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming – illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of these powerful systems, but also how to leverage parallelism across these heterogeneous systems.
Best prices to buy, sell, or rent ISBN 9780128021187
Frequently Asked Questions about High Performance Parallelism Pearls Volume One: Multicore and Many-core Programming Approaches
The price for the book starts from $23.42 on Amazon and is available from 16 sellers at the moment.
If you’re interested in selling back the High Performance Parallelism Pearls Volume One: Multicore and Many-core Programming Approaches book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the High Performance Parallelism Pearls Volume One: Multicore and Many-core Programming Approaches book, the best buyback offer comes from and is $ for the book in good condition.
The High Performance Parallelism Pearls Volume One: Multicore and Many-core Programming Approaches book is in very low demand now as the rank for the book is 4,132,841 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
Not enough insights yet.