Review

"This book will make it much easier in general to exploit high levels of parallelism including programming optimally for the Intel Xeon Phi products. The common programming methodology between the Xeon and Xeon Phi families is good news for the entire scientific and engineering community; the same programming can realize parallel scaling and vectorization for both multicore and many-core." – from the Foreword by Sverre Jarp, CERN Openlab CTO

From the Back Cover

High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming methods – 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 neo-heterogeneous systems.

See all Editorial Reviews