Advances in GPU research and practice /
Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues....
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| Other Authors: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam :
Elsevier,
[2017]
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| Series: | Emerging trends in computer science & applied computing.
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| Subjects: | |
| Online Access: | CONNECT CONNECT |
| Summary: | Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors. |
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| Physical Description: | 1 online resource (776 pages) : illustrations (some color) |
| Bibliography: | ReferencesChapter 2: SnuCL: A unified OpenCL framework for heterogeneous clusters; 1 Introduction; 2 OpenCL; 2.1 Platform Model; 2.2 Execution Model; 2.3 Memory Model; 2.4 Synchronization; 2.5 Memory Consistency; 2.6 OpenCL ICD; 3 Overview of SnuCL framework; 3.1 Limitations of OpenCL; 3.2 SnuCL CPU; 3.3 SnuCL Single; 3.4 SnuCL Cluster; 3.4.1 Processing synchronization commands; 4 Memory management in SnuCL Cluster; 4.1 Space Allocation to Memory Objects; 4.2 Minimizing Copying Overhead; 4.3 Processing Memory Commands; 4.4 Consistency Management. |
| ISBN: | 0128037881 9780128037881 9780128037386 0128037385 |
