Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU) (Record no. 84863)
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fixed length control field | 04024nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-01737-7 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730163655.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2012 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031017377 |
-- | 978-3-031-01737-7 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.3815 |
100 1# - AUTHOR NAME | |
Author | Kim, Hyesoon. |
245 10 - TITLE STATEMENT | |
Title | Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU) |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2012. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XII, 88 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Computer Architecture, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | GPU Design, Programming, and Trends -- Performance Principles -- From Principles to Practice: Analysis and Tuning -- Using Detailed Performance Analysis to Guide Optimization. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Vuduc, Richard. |
700 1# - AUTHOR 2 | |
Author 2 | Baghsorkhi, Sara. |
700 1# - AUTHOR 2 | |
Author 2 | Choi, Jee. |
700 1# - AUTHOR 2 | |
Author 2 | Hwu, Wen-mei W. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01737-7 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2012. |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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347 ## - | |
-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Electronic circuits. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Microprocessors. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer architecture. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Electronic Circuits and Systems. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Processor Architectures. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1935-3243 |
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-- | ZDB-2-SXSC |
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