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Grid & parallel computing

Showing 1-16 of top 150 Results.

Elements of Parallel Computing
(Paperback)
Eric Aubanel
 
Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel Computing presents the fundamental...
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Fundamentals of Parallel Computing
(Hardback)
Sanjay Razdan
 
When we think about processor intensive applications, we think about parallel computing. This book discusses what parallel computing is and how it can be achieved....
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Developing Web 2.0 Applications with...
(Paperback)
Joe Pluta
 
Targeting Web 2.0 IT professionals and developers, this important resource provides essential information on IBM's Enterprise Generation Language (EGL) and the ...
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CSA Guide to Cloud Computing
(Paperback)
Raj Samani
 
CSA Guide to Cloud Computing brings you the most current and comprehensive understanding of cloud security issues and deployment techniques from industry thought...
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Foundations of Quantum Programming
(Paperback)
Mingsheng Ying
 
Foundations of Quantum Programming discusses how new programming methodologies and technologies developed for current computers can be extended to exploit the unique...
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The Enterprise Cloud: Lessons Learned
(Paperback)
James Bond
 
Rather than yet another book trying to sell or convince readers on the benefits of clouds, this book provides guidance, lessons learned, and best practices on how to design, deploy...
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Professional CUDA C Programming
(Paperback)
John Cheng; Max Grossman; Ty McKercher
 
Professional CUDA Programming in C provides down to earth coverage of the complex topic of parallel computing, a topic increasingly essential in every day computing. This entry-level programming book for...
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Heterogeneous Computing with Opencl 2.0
(Paperback)
David Kaeli
 
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core ...
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Parallel and Concurrent Programming ...
(Paperback)
Simon Marlow
 
If you have a working knowledge of Haskell, this book shows you how to use the language's many APIs and frameworks for writing parallel and concurrent programs. You'll learn how...
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Parallel Computing for Data Science:...
(Hardback)
Norman Matloff
 
Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data...
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£46.99
 
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How Clouds Hold it Together:...
(Paperback)
Marvin Waschke
 
"User level: intermediate-advanced"--Back cover.
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OpenStack Swift: Using, ...
(Paperback)
Joe Arnold
 
In this practical guide, Joe Arnold, co-founder and CEO of SwiftStack, brings you up-to-speed on the basic concepts of object storage and walks you through what you need to know...
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£23.99
 
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High Performance Parallelism Pearls
(Paperback)
James Reinders; James Jeffers
 
High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming - illustrating the most effective ways ...
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£48.99
 
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Cuda Programming
(Paperback)
Shane Cook
 
A guide to CUDA. It features chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. It demonstrates CUDA in practice for optimizing...
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The Art of Multiprocessor ...
(Paperback)
Nir Shavit; Maurice Herlihy
 
A guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. It provides comprehensive coverage of the principles, algorithms...
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An Introduction to Parallel Programming
(Hardback)
Peter Pacheco
 
Uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP. This title focuses on designing, debugging and evaluating the performance of distributed...
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