High Performance Parallelism Pearls Volume One
- Authors
- Jeffers, James & Reinders, James
- Publisher
- Morgan Kaufmann
- Tags
- python , programming
- Date
- 2014-11-04T00:00:00+00:00
- Size
- 55.36 MB
- Lang
- en
_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.
Promotes consistent standards-based programming, showing in detail how to code
for high performance on multicore processors and Intel® Xeon Phi™ Examples
from multiple vertical domains illustrating parallel optimizations to
modernize real-world codes Source code available for download to facilitate
further exploration