<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>Wenhua Yu, Xiaoling Yang, Wenxing Li</title><link>https://shop.theiet.org:443/author/wenhua-yu-xiaoling-yang-wenxing-li</link><description>Wenhua Yu, Xiaoling Yang, Wenxing Li</description><item><title>VALU, AVX and GPU Acceleration Techniques for Parallel FDTD Methods</title><link>https://shop.theiet.org:443/valu-meth-accel-fdtd</link><description>&lt;p xmlns="http://ns.editeur.org/onix/3.0/reference"&gt;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.&lt;/p&gt;</description><pubDate>Mon, 11 Jun 2018 21:03:54 GMT</pubDate><guid isPermaLink="true">https://shop.theiet.org:443/valu-meth-accel-fdtd</guid></item></channel></rss>