Download Multicore Processors and Systems (Integrated Circuits and by Stephen W. Keckler, Kunle Olukotun, H. Peter Hofstee PDF
By Stephen W. Keckler, Kunle Olukotun, H. Peter Hofstee
Multicore Processors and Systems presents a finished review of rising multicore processors and structures. It covers expertise traits affecting multicores, multicore structure strategies, multicore software program ideas, and case reports of state of the art advertisement multicore platforms. A cross-cutting topic of the booklet is the demanding situations linked to scaling up multicore structures to hundreds and hundreds of cores.
The ebook offers an outline of vital advancements within the architectures for multicore processors and platforms. It contains chapters on primary necessities for multicore platforms, together with processing, reminiscence platforms, and interconnect. it is usually numerous case reports on advertisement multicore platforms that experience lately been built and deployed throughout a number of program domain names. The structure chapters specialise in leading edge multicore execution versions in addition to infrastructure for multicores, together with reminiscence structures and on-chip interconnections. The case reports learn multicore implementations throughout assorted program domain names, together with common goal, server, media/broadband, community processing, and sign processing.
Multicore Processors and Systems is the 1st booklet that focuses exclusively on multicore processors and platforms, and specifically at the specified know-how implications, architectures, and implementations. The booklet has contributing authors which are from either the educational and business communities.
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Extra resources for Multicore Processors and Systems (Integrated Circuits and Systems)
Integrated Shared-Memory and Message-Passing Communication in the Alewife Multiprocessor. PhD thesis, Massachusetts Institute of Technology, 1998. 25. W. Lee, R. Barua, M. Frank, D. Srikrishna, J. Babb, V. Sarkar, and S. Amarasinghe. SpaceTime Scheduling of Instruction-Level Parallelism on a Raw Machine. In ASPLOS-VIII: Proceedings of the Eighth International Conference on Architectural Support for Programming Languages and Operating Systems, pages 46–54, 1998. 26. W. Lee, D. Puppin, S. Swenson, and S.
S. Peh et al. As the number of on-chip cores increases, a scalable and high-bandwidth communication fabric to connect them becomes critically important . As a result, packet-switched on-chip networks are fast replacing buses and crossbars to emerge as the pervasive communication fabric in many-core chips. Such on-chip networks have routers at every node, connected to neighbors via short local interconnects, while multiplexing multiple packet flows over these interconnects to provide high, scalable bandwidth.
Raw supports statically orchestrated communication by using a programmable switch that issues an instruction during each cycle. The instruction specifies the routes through the switch during that cycle. Because the switch program memory in Raw is large, and virtualized through caching, there is no practical architectural limit on the number of simultaneous communication patterns that can be supported in a computation. This virtualization becomes particularly important for supporting ILP, because switch programs become as large or even larger than the compute programs.