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 GPUs
• Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers
• Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs
• Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography
• Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications

《GPU研究與實踐的進展》專注於GPU系統的研究和實踐。所討論的主題涵蓋了從硬體和架構問題到高層次問題的範圍，例如應用系統、並行程式設計、中介軟體以及電源和能源問題。

本書分為六個部分，提供了關於GPU運算的最新研究。第一部分：架構解決方案專注於改善GPU性能的架構主題，第二部分：系統軟體討論了操作系統、編譯器、函式庫、程式設計環境、語言和範式，這些都是為了幫助和支援GPU程式設計師而提出和分析的。第三部分：電源和可靠性問題涵蓋了GPU中能源、電源和可靠性方面的不同問題。第四部分：性能分析介紹了預測GPU中不同性能指標的數學和分析技術。第五部分：演算法介紹了如何設計高效的GPU演算法並分析其複雜度。第六部分：應用和相關主題提供了GPU在多個領域中的使用案例和示例。

本書還討論了在設計、構建和使用GPU時如何最大化功率並獲得最高可靠性，涵蓋了系統軟體（操作系統、編譯器）、程式設計環境、語言和範式等方面的內容，這些都是為了幫助和支援GPU程式設計師而提出的。此外，本書還解釋了如何使用數學和分析技術來預測GPU中不同的性能指標，並且以生物信息學、複雜系統、社交網絡和密碼學等領域的高效GPU演算法設計和複雜度分析為例。最後，本書還提供了在醫學、社會科學、影像處理和電信等多個垂直領域中使用GPU的應用和使用案例。