0
Your cart

Your cart is empty

Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design

Buy Now

Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU) (Paperback) Loot Price: R944
Discovery Miles 9 440
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, Wen-Mei W. Hwu

Series: Synthesis Lectures on Computer Architecture

 (sign in to rate)
Loot Price R944 Discovery Miles 9 440 | Repayment Terms: R88 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

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. Table of Contents: GPU Design, Programming, and Trends / Performance Principles / From Principles to Practice: Analysis and Tuning / Using Detailed Performance Analysis to Guide Optimization

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Synthesis Lectures on Computer Architecture
Release date: November 2012
First published: 2012
Authors: Hyesoon Kim • Richard Vuduc • Sara Baghsorkhi • Jee Choi • Wen-Mei W. Hwu
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 88
ISBN-13: 978-3-03-100609-8
Languages: English
Subtitles: English
Categories: Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General
LSN: 3-03-100609-7
Barcode: 9783031006098

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners