The most exciting development in parallel computer architecture is the convergence of traditionally disparate approaches on a common machine structure. This book explains the forces behind this convergence of shared-memory, message-passing, data parallel, and data-driven computing architectures. It then examines the design issues that are critical to all parallel architecture across the full range of modern design, covering data access, communication performance, coordination of cooperative work, and correct implementation of useful semantics. It not only describes the hardware and software techniques for addressing each of these issues but also explores how these techniques interact in the same system. Examining architecture from an application-driven perspective, it provides comprehensive discussions of parallel programming for high performance and of workload-driven evaluation, based on understanding hardware-software interactions.
Features:
synthesizes a decade of research and development for practicing engineers, graduate students, and researchers in parallel computer architecture, system software, and applications development
presents in-depth application case studies from computer graphics, computational science and engineering, and data mining to demonstrate sound quantitative evaluation of design trade-offs
describes the process of programming for performance, including both the architecture-independent and architecture-dependent aspects, with examples and case-studies
illustrates bus-based and network-based parallel systems with case studies of more than a dozen important commercial designs
About the AuthorDavid Culler led the Berkeley Network of Workstations (NOW) project, which sparked the current commercial revolution in high-performance clusters. Anoop Gupta co-led the Stanford DASH multiprocessor project, which developed the shared-memory technology increasingly used in commercial machines.
Jaswinder Pal Singh led the development of the SPLASH and SPLASH-2 suites of parallel programs, which have defined the workloads and methodology used to drive decisions and evaluate trade-offs in shared- memory parallel architecture.
作者: apteye 时间: 2013-1-8 20:44
领域好书作者: iseesky 时间: 2013-1-10 00:13
这本书真的是97年出版的？？作者: gd88zjl 时间: 2013-1-13 01:10
这本书非常不错啊！强烈推荐作者: wodeshijie240 时间: 2013-1-13 20:47
支持楼主。。。作者: freedomlz 时间: 2013-1-15 21:50
good book 作者: dexterous 时间: 2013-1-17 10:20
总之谢谢楼主分享了：）
comp arch的书还是很需要的作者: fixit 时间: 2013-1-18 23:00
学习学习作者: zhaichunhua168 时间: 2013-1-24 20:59
谢谢，书非常好！！作者: machinecat-007 时间: 2013-1-29 16:21
经典之作 谢谢分享作者: lujunfeng111 时间: 2013-2-2 23:58
不错的一本书。作者: jcchan 时间: 2013-3-1 11:21
頂一下!感謝無私分享!作者: 固执的寻觅 时间: 2013-6-12 09:42 回复 13#jcchan
