Valu, Avx and Gpu Acceleration Techniques for Parallel Fdtd Methods

By Xiaoling Yang, Wenhua Yu, Guang Li

Development of computer science techniques has significantly enhanced computational electromagnetic methods in recent years. The multi-core CPU computers and multiple CPU work stations are popular today for scientific research and engineering computing. How to achieve the best performance on the existing hardware platforms, however, is a major challenge. In addition to the multi-core computers and multiple CPU workstations, distributed computing has become a primary trend due to the low cost of the hardware and the high performance of network systems. In this book we introduce a general hardware acceleration technique that can significantly speed up FDTD simulations and their applications to engineering problems without requiring any additional hardware devices.

• Format: Hardcover
• Language: English
• ISBN: 1613531745
• ISBN13: 9781613531747
• Release Date: September 2013
• Publisher: SciTech Publishing
• Length: 248 Pages
• Weight: 1.50 lbs.
• Dimensions: 0.8" x 7.1" x 10.2"