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Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues 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 architectural topics that improve on performance of GPUs Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms 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 provide 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,), libraries, programming environment, languages, and paradigms proposed and analyzed 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