Valu, Avx And Gpu Acceleration Techniques For Parallel Fdtd Methods

 ( Book Product ) 

This book introduces a general hardware acceleration technique that can significantly speed up finite difference time domain (FDTD) simulations and their applications to engineering problems without requiring any additional hardware devices

• Valu, Avx And Gpu Acceleration Techniques For Parallel Fdtd Methods available on March 21 2017 from Indigo for 131.5
  
• ISBN bar code 9781613531747 ξ1 registered November 22 2014
  
• ISBN bar code 9781613531747 ξ2 registered March 21 2017
  
• Product category is Book

• Sku # 978161353174
  

It provides detailed code demonstration and analysis to help readers get the step-by-step guidelines using the vector arithmetic logic units (VALU) in the CPU and demonstrates the detailed implementation techniques of VALU to the parallel FDTD method and presents a large number of engineering applications. It also introduces the cloud computing concept and engineering applications and presents a 3D parallel FDTD code, accelerated by using the VALU.• The authors of this book were previously university researchers who built a successful commercial enterprise based on their superior computer performance in electromagnetics simulations and "number-crunching"• The multi-core CPU computers and multiple CPU work stations are popular today for scientific research and engineering computing.• 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.

^ Computing and Networks: VALU, AVX and GPU Acceleration Techniques for Parallel FDTD Methods by Xiaoling Yang, Wenhua Yu and Wenxing Li (2013, Hardcover) ISBN 9781613531747 (revised Jun 2018)
^ Valu, Avx And Gpu Acceleration Techniques For Parallel Fdtd Methods Indigo. ISBN 9781613531747 (revised Mar 2017)