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  • Book
  • © 2015

GPU Computing and Applications

Editors:

  • Covers many different applications in GPU computing

  • Addresses the fundamental issues in GPU computing with a focus on big data processing

  • Written by experts in the field

  • Includes supplementary material: sn.pub/extras

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eBook USD 99.00
Price excludes VAT (USA)
  • ISBN: 978-981-287-134-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 129.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xviii
  2. A GPU-Enabled Parallel Genetic Algorithm for Path Planning of Robotic Operators

    • Panpan Cai, Yiyu Cai, Indhumathi Chandrasekaran, Jianmin Zheng
    Pages 1-13
  3. Real-Time Deformation of Constrained Meshes Using GPU

    • Alexandre Kaspar, Bailin Deng
    Pages 15-34
  4. GPU-Based Real-Time Volume Interaction for Scientific Visualization Education

    • Yanlin Luo, Zhongke Wu, Zuying Luo, Yanhong Luo
    Pages 35-51
  5. Adaptive NURBS Tessellation on GPU

    • Yusha Li, Xingjiang Lu, Wenjing Zhang, Guozhao Wang
    Pages 69-84
  6. Graphics Native Approach to Identifying Surface Atoms of Macromolecules

    • Huagen Wan, Yunqing Guan, Yiyu Cai
    Pages 85-97
  7. The Design of SkyPACS: A High-Performance Mobile Medical Imaging Solution

    • Tananan Pattanangkur, Sikana Tanupabrungson, Katchaguy Areekijseree, Sarunya Pumma, Tiranee Achalakul
    Pages 119-133
  8. Collision Detection Based on Fuzzy Scene Subdivision

    • David Mainzer, Gabriel Zachmann
    Pages 135-150
  9. Smoothed Particle Hydrodynamics Applied to Cartilage Deformation

    • Philip Boyer, Sean LeBlanc, Chris Joslin
    Pages 151-165
  10. A Middleware Framework for Programmable Multi-GPU-Based Big Data Applications

    • Ettikan K. Karuppiah, Yong Keh Kok, Keeratpal Singh
    Pages 187-206
  11. On the Efficient Implementation of a Real-Time Kd-Tree Construction Algorithm

    • Byungjoon Chang, Woong Seo, Insung Ihm
    Pages 207-219
  12. Fast Approximate k-Nearest Neighbours Search Using GPGPU

    • Niko Lukač, Borut Žalik
    Pages 221-234
  13. Soft Computing Methods for Big Data Problems

    • Shafaatunnur Hasan, Siti Mariyam Shamsuddin, Noel Lopes
    Pages 235-247
  14. Numerical Solution of BVP on GPU with Application to Path Planning

    • Lumír Janošek, Martin Němec, Radoslav Fasuga
    Pages 249-257
  15. Fast Multi-Keyword Range Search Using GPGPU

    • Amirul Abdullah, Amril Nazir, Mohanavelu Senapan, Soo Saw Meng, Ettikan Karuppiah
    Pages 259-274
  16. Back Matter

    Pages 275-280

About this book

This book presents a collection of state of the art research on GPU Computing and Application. The major part of this book is selected from the work presented at the 2013 Symposium on GPU Computing and Applications held in Nanyang Technological University, Singapore (Oct 9, 2013). Three major domains of GPU application are covered in the book including (1) Engineering design and simulation; (2) Biomedical Sciences; and (3) Interactive & Digital Media. The book also addresses the fundamental issues in GPU computing with a focus on big data processing. Researchers and developers in GPU Computing and Applications will benefit from this book. Training professionals and educators can also benefit from this book to learn the possible application of GPU technology in various areas.

Keywords

  • Big Data GPU
  • Big Data Processing
  • GPU Applications
  • GPU Visualization
  • Graphics Processing Unit (GPU)
  • High Performance Computing
  • NURBS GPU
  • SkyPACS
  • Symposium GPU Computing and Applications

Reviews

“The book is well edited and includes conclusions and future work discussions in most papers. … Most papers emphasize empirical evidence of significant performance improvements of their subject algorithms using graphics processing units (GPUs). … It is refreshing to see a book like this that brings together research in multiple disciplines in a form that is accessible to so many readers.” (George S. Carson, Computing Reviews, July, 2015)

Editors and Affiliations

  • Nanyang Technological University, Singapore, Singapore

    Yiyu Cai

  • Nvidia, Singapore, Singapore

    Simon See

About the editors

Dr. Cai has over 20 year research experience developing 3D and simulation technology with the aid of GPUs for applications in engineering, bio-medicine, interactive & digital media, and education. His research has been supported by both public and private sectors. He was deputy director of NTU’s Bio-informatics Research Centre, and technical director of Computer-aided Engineering Labs, deputy director of Nanyang Centre for Supercomputing and Visualization, deputy director of Centre for Advanced Numerical and Engineering Simulation. He has published over 150 papers in peer-reviewed international journals and conferences and also has edited 6 books or journal special issues. He is associate editor with the journal Simulation and Gaming, and sits in editorial boards of several international journals. Part of his innovative and interdisciplinary research was or is being exhibited in Singapore Art Museum, Singapore Science Centre, and China National Science and Technology Museum. Dr Cai has co-organised several major international or regional conferences, and is keynote speakers or invited speakers at several international conferences. He has co-invented 5 patents granted or pending approval. He was former co-President of the International Simulation and Gaming Association.

Dr. Simon See is currently the High Performance Computing Technology Director and Chief Solution Architect for nVIDIA Inc, Asia and also a Professor and Chief Scientific Computing Officer in Shangh

ai Jiao Tong University. Concurrently Professor See is also the Chief Scientific Computing Advisor for BGI (China). His research interests are in the area of High Performance Computing, computational science, Applied Mathematics and simulation methodology. He has published over 100 papers in these areas and has won various awards.

Professor Nadia Magnenat-Thalmann is Editor-in-Chief of The Visual Computer Journal published by Springer Verlag, Co-Editor-in-Chief of the journal Computer Animation and Virtual Worlds published by Wiley and Associate Editor of many other scientific journals. Together with her PhD students, she has published more than 500 papers and books on Virtual Humans and Social Robots with research topics such as 3D clothes, hair, body gestures, emotions modelling, and medical simulation. She has been invited to give more than 300 keynote lectures in various institutions and organizations, among them the World Economic Forum in Davos. She was Vice-Rector at the University of Geneva from 2003-2006. She is a Member and President of high level international evaluation committees, among the recent ones the Jury of the Vienna Science and Technology Fund, the Advisory Board for Computer Science at Tsinghua University in Beijing, China, the Canada Excellence Research Chairs Review Panel in Ottawa and the European Research Council. During her Career, she has received more than 30 Awards such as “Woman in the Year”, the early recognition in Montreal in 1987. Among the recent ones, she was awarded a Doctor Honoris Causa in Natural Sciences from the Leibniz University of Hanover in Germany in 2009, the Distinguished Career Award from the European Association for Computer Graphics in Norrkoping, Sweden and an Honorary Doctorate of the University in Ottawa in 2010 and a Career Achievement Award from the Canadian Human Computer Communications Society in Toronto in 2012. Very recently, she received the prestigious Humboldt Research Award in Germany given to “academics whose fundamental discoveries, new theories, or insights have had a significant impact on their own discipline and who are expected to continue producing cutting-edge achievements in the future”. Besides directing her research group MIRALab in Switzerland, she is presently Professor and Director of the Institute for Media Innovation (IMI) at Nanyang Technological University, Singapore.

Bibliographic Information

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • ISBN: 978-981-287-134-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 129.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)