Wenhua Yu Xiaolin VALU, AVX and GPU Acceleration Techniques for Para (Hardback)

Description: Further DetailsTitle: VALU, AVX and GPU Acceleration Techniques for Parallel FDTD MethodsCondition: NewEAN: 9781613531747ISBN: 9781613531747Publisher: SciTech Publishing IncFormat: HardbackRelease Date: 09/23/2013Description: 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.Language: EnglishCountry/Region of Manufacture: USItem Height: 254mmItem Length: 178mmAuthor: Wenhua Yu, Xiaoling Yang, Wenxing LiGenre: Computing & InternetBook Series: Computing and NetworksRelease Year: 2013 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Book Title: VALU, AVX and GPU Acceleration Techniques for Parallel FDTD Metho

Title: VALU, AVX and GPU Acceleration Techniques for Parallel FDTD Metho

EAN: 9781613531747

ISBN: 9781613531747

Release Date: 09/23/2013

Release Year: 2013

Country/Region of Manufacture: US

Item Height: 254mm

Genre: Computing & Internet

Number of Pages: 248 Pages

Publication Name: Valu, Avx and GPU Acceleration Techniques for Parallel Fdtd Methods

Language: English

Publisher: Scitech Publishing, Incorporated

Publication Year: 2013

Subject: Programming / General, Physics / Electromagnetism, System Theory

Type: Textbook

Item Weight: 24.1 Oz

Item Length: 10 in

Subject Area: Computers, Science

Author: Xiaoling Yang, Wenhua Yu, Wenxing Li

Series: Computing and Networks Ser.

Item Width: 7 in

Format: Hardcover