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Titlebook: Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU); Hyesoon Kim,Richard Vuduc,Wen-mei Hwu Book 2012 Spr

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书目名称Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU)
编辑Hyesoon Kim,Richard Vuduc,Wen-mei Hwu
视频video
丛书名称Synthesis Lectures on Computer Architecture
图书封面Titlebook: Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU);  Hyesoon Kim,Richard Vuduc,Wen-mei Hwu Book 2012 Spr
描述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 optimizat
出版日期Book 2012
版次1
doihttps://doi.org/10.1007/978-3-031-01737-7
isbn_softcover978-3-031-00609-8
isbn_ebook978-3-031-01737-7Series ISSN 1935-3235 Series E-ISSN 1935-3243
issn_series 1935-3235
copyrightSpringer Nature Switzerland AG 2012
The information of publication is updating

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