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portada Advances in gpu Research and Practice (Emerging Trends in Computer Science and Applied Computing)
Type
Physical Book
Year
2016
Language
English
Pages
774
Format
Paperback
ISBN13
9780128037386
Edition No.
1

Advances in gpu Research and Practice (Emerging Trends in Computer Science and Applied Computing)

Hamid Azad (Author) · Morgan Kaufmann · Paperback

Advances in gpu Research and Practice (Emerging Trends in Computer Science and Applied Computing) - Hamid Azad

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Synopsis "Advances in gpu Research and Practice (Emerging Trends in Computer Science and Applied Computing)"

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. Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUsCovers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmersExplains how to use mathematical and analytical techniques to predict different performance metrics in GPUsIllustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptographyProvides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications

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