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 INDICE: Part 1. Architectural Solutions Threads, block and warp scheduling techniques VLIW architectures and GPUs On-chip cache architectures for GPUs Prefetching, overlapping and data reuse in GPUs Branch prediction and warp convergence Efficient hybrid memory architectures for GPUs Multiprogramming architectural supports for GPUs CPU-GPU communication issues Efficient I/O architectures for single- and multi-GPU systems Application of new technologies in GPU architecture Comparative architectural studies of GPUs of different vendors GPUs vs other competing architectures (such as Intel Xeon Phi, FPGAs,.) Part 2. System Software GPU aware compilation techniques OS issues in GPUs Programming tools, environments, libraries (CUDA, OpenCL, OpenMP, LLVM, OpenACC .) Profiling and debugging tools Programming multi-GPU systems: models, tools (MPI, Hadoop, .), and evaluations GPU support in commercial libraries Big data support in GPU based systems Part 3. Power and Reliability Issues Power models of GPUs Power reduction techniques for GPUs Application of non-volatile memory technologies to improve power and reliability issues in GPUs Fault and process variation models of GPUs Hard/soft error tolerance in GPUs Energy profiling and power analysis for GPUs Part 4. Performance Analysis Analytical performance models of GPUs Analytical power/energy models of GPUs GPU simulation accelerators GPU simulators and simulation studies Performance/power measurement and evaluation techniques for GPUs Hybrid CPU-GPU performance/power analysis Part 5. Algorithms Graph algorithms on GPUs GPU algorithms for searching and matching algorithms Matrix computation techniques on GPUs Numerical algorithms for GPUs GPU algorithms for other important areas (Bioinformatics, complex systems, social networks, cryptography, .) Part 6. Applications and related topics Application of GPUs in social sciences Application of GPUs in medical sciences Application of GPUs in image processing applications Application of GPUs in testing Supercomputing applications of GPUs Application of GPUs in other important areas (wireless communication, software-defined radio, CAD, simulators)
- ISBN: 978-0-12-803738-6
- Editorial: Morgan Kaufmann
- Encuadernacion: Rústica
- Páginas: 780
- Fecha Publicación: 16/09/2016
- Nº Volúmenes: 1
- Idioma: Inglés