VALU, AVX and GPU Acceleration Techniques for Parallel FDTD Methods

The 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. However, how to achieve the best performance on the existing hardware platforms 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 VALU, AVX and GPU Acceleration Techniques for Parallel FDTD Methods, highly complex electromagnetics problems are combined with computer science techniques to show how computational time can be accelerated using little known and understood capabilities built into the computers microchips.
This book introduces a general hardware acceleration technique that can significantly speed up FDTD simulations and their applications to engineering problems without requiring any additional hardware devices. This acceleration of complex problems can be efficient in saving both time and money and once learned these new techniques can be used repeatedly.
The authors of this book can be regarded as experts in this topic area, as they have built a successful commercial enterprise based on their superior computer performance in electromagnetics simulations and number-crunching.