Advances in GPU Research and Practice

AvHamid Sarbazi-Azad

Häftad, Engelska, 2016

Del i serien Emerging Trends in Computer Science and Applied Computing

1 162 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

E-bok

1 417 kr

Beskrivning

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

Produktinformation

Utgivningsdatum:2016-09-06
Mått:191 x 235 x 40 mm
Vikt:1 560 g
Format:Häftad
Språk:Engelska
Serie:Emerging Trends in Computer Science and Applied Computing
Antal sidor:774
Förlag:Elsevier Science
ISBN:9780128037386

Utforska kategorier

Mer om författaren

Hamid Sarbazi-Azad is currently a professor of computer science and engineering at Sharif University of Technology, and a research professor of computer science at the Institute for Research in Fundamental Sciences, both in Tehran, Iran . His research interests include high-performance computer/memory architectures, NoCs and SoCs, learning architectures,, social networks, and storage systems, on which he has published over 400 refereed papers. He received Khwarizmi International Award in 2006, TWAS Young Scientist Award in engineering sciences in 2007, and Sharif University Distinguished Researcher awards in years 2004, 2007, 2008, 2010 and 2013. He is now an associate editor of ACM Computing Surveys, IEEE Computer Architecture Letters, and Elsevier’s Computers and Electrical Engineering.

Innehållsförteckning

Part 1: Programming and Tools1. Formal analysis techniques for reliable GPU programming: current solutions and call to action2. SnuCL: A unified OpenCL framework for heterogeneous clusters3. Thread communication and synchronization on massively parallel GPUs4. Software-level task scheduling on GPUs5. Data placement on GPUsPart 2: Algorithms and Applications6. Biological sequence analysis on GPU7. Graph algorithms on GPUs8. GPU alignment of two and three sequences9. Augmented Block Cimmino Distributed Algorithm for solving tridiagonal systems on GPU10. GPU computing applied to linear and mixed-integer programming11. GPU-accelerated shortest paths computations for planar graphs12. GPU sorting algorithms13. MPC: An effective floating-point compression algorithm for GPUs14. Adaptive sparse matrix representation for efficient matrix-vector multiplicationPart 3: Architecture and Performance15. A framework for accelerating bottlenecks in GPU execution with assist warps16. Accelerating GPU accelerators through neural algorithmic transformation17. The need for heterogeneous network-on-chip architectures with GPGPUs: A case study with photonic interconnects18. Accurately modeling GPGPU frequency scaling with the CRISP performance modelPart 4: Power and Reliability19. Energy and power considerations of GPUs20. Architecting the last-level cache for GPUs using STT-MRAM nonvolatile memory21. Power management of mobile GPUs22. Advances in GPU reliability research23. Addressing hardware reliability challenges in general-purpose GPUs