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Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU) (Paperback) Loot Price: R714
Discovery Miles 7 140
Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU) (Paperback): Hyesoon Kim, Richard Vuduc,...

Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU) (Paperback)

Hyesoon Kim, Richard Vuduc, Sara Baghsorkhi, Jee Choi

Series: Synthesis Lectures on Computer Architecture

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Loot Price R714 Discovery Miles 7 140 | Repayment Terms: R66 pm x 12*

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General-purpose graphics processing units (GPGPU) have emerged as an important class of shared memory parallel processing architectures, with widespread deployment in every computer class from high-end supercomputers to embedded mobile platforms. Relative to more traditional multicore systems of today, GPGPUs have distinctly higher degrees of hardware multithreading (hundreds of hardware thread contexts vs. tens), a return to wide vector units (several tens vs. 1-10), memory architectures that deliver higher peak memory bandwidth (hundreds of gigabytes per second vs. tens), and smaller caches/scratchpad memories (less than 1 megabyte vs. 1-10 megabytes). In this book, we provide a high-level overview of current GPGPU architectures and programming models. We review the principles that are used in previous shared memory parallel platforms, focusing on recent results in both the theory and practice of parallel algorithms, and suggest a connection to GPGPU platforms. We aim to provide hints to architects about understanding algorithm aspect to GPGPU. We also provide detailed performance analysis and guide optimizations from high-level algorithms to low-level instruction level optimizations. As a case study, we use n-body particle simulations known as the fast multipole method (FMM) as an example. We also briefly survey the state-of-the-art in GPU performance analysis tools and techniques.

General

Imprint: Morgan & Claypool Publishers
Country of origin: United States
Series: Synthesis Lectures on Computer Architecture
Release date: November 2012
First published: November 2012
Authors: Hyesoon Kim • Richard Vuduc • Sara Baghsorkhi • Jee Choi
Dimensions: 235 x 187 x 5mm (L x W x T)
Format: Paperback
Pages: 96
ISBN-13: 978-1-60845-954-4
Categories: Books > Computing & IT > General theory of computing
Books > Computing & IT > Applications of computing
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
LSN: 1-60845-954-3
Barcode: 9781608459544

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