About the Book:

Graphics Processing Units (GPUs) are designed to be parallel – having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for many computationally-intense applications, not just for graphics. If you’re facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques.

GPU Computing Gems: Emerald Edition is the first volume in this new series from Morgan Kaufmann. Different application domains often pose similar algorithm problems, and researchers from diverse application domains often develop similar algorithmic strategies.

Each edition of GPU Computing Gems covers a carefully-selected subset of domains representing the latest GPU techniques, offering you a window into these diverse application areas, and the opportunity to gain insights from others’ algorithm work you may apply to your own projects.

Click Contents above to view the table of contents for the Emerald Edition, and bookmark this page to find out about future books in the series.

Features

• A snapshot of the state of GPU computing in ten critical domains, edited by Wen-mei W. Hwu with experts from NVIDIA and instructors from leading GPU programs worldwide
• Examples are written to be accessible across industries, and offer insights and ideas as well as practical “hands-on” skills you can immediately put to use

Available at Booksellers Worldwide