GPU Solutions to Multi-scale Problems in Science and Engineering
Editors: Yuen, D.A., Wang, L., Chi, X., Johnsson, L., Ge, W., Yaolin, S. (Eds.)
Free Preview- Shows how GPUs are used to tackle diverse problems in science and engineering
- Gives examples of codes written in CUDA for a range of problems
- Shows how to implement algorithms on GPUs
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- About this book
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This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.
- Table of contents (41 chapters)
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Why Do Scientists and Engineers Need GPU’s Today?
Pages 3-11
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Happenings at the GPU Conference
Pages 13-30
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Efficiency, Energy Efficiency and Programming of Accelerated HPC Servers: Highlights of PRACE Studies
Pages 33-78
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GRAPE and GRAPE-DR
Pages 79-87
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Parray: A Unifying Array Representation for Heterogeneous Parallelism
Pages 91-113
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Table of contents (41 chapters)
- Download Preface 1 PDF (1.5 MB)
- Download Sample pages 2 PDF (2.6 MB)
- Download Table of contents PDF (1.5 MB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- GPU Solutions to Multi-scale Problems in Science and Engineering
- Editors
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- David A. Yuen
- Long Wang
- Xuebin Chi
- Lennart Johnsson
- Wei Ge
- Shi Yaolin
- Series Title
- Lecture Notes in Earth System Sciences
- Copyright
- 2013
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-16405-7
- DOI
- 10.1007/978-3-642-16405-7
- Hardcover ISBN
- 978-3-642-16404-0
- Softcover ISBN
- 978-3-662-50691-2
- Series ISSN
- 2193-8571
- Edition Number
- 1
- Number of Pages
- XIII, 693
- Topics
