Parallel computing (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Parallel computing" in English language version.

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  • Asanovic, Krste et al. (December 18, 2006). "The Landscape of Parallel Computing Research: A View from Berkeley" (PDF). University of California, Berkeley. Technical Report No. UCB/EECS-2006-183. "Old [conventional wisdom]: Increasing clock frequency is the primary method of improving processor performance. New [conventional wisdom]: Increasing parallelism is the primary method of improving processor performance… Even representatives from Intel, a company generally associated with the 'higher clock-speed is better' position, warned that traditional approaches to maximizing performance through maximizing clock speed have been pushed to their limits."
  • Asanovic, Krste, et al. (December 18, 2006). "The Landscape of Parallel Computing Research: A View from Berkeley" (PDF). University of California, Berkeley. Technical Report No. UCB/EECS-2006-183. See table on pages 17–19.

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  • Menabrea, L. F. (1842). Sketch of the Analytic Engine Invented by Charles Babbage. Bibliothèque Universelle de Genève. Retrieved on November 7, 2007. quote: "when a long series of identical computations is to be performed, such as those required for the formation of numerical tables, the machine can be brought into play so as to give several results at the same time, which will greatly abridge the whole amount of the processes."

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  • Kahng, Andrew B. (June 21, 2004) "Scoping the Problem of DFM in the Semiconductor Industry Archived 2008-01-31 at the Wayback Machine." University of California, San Diego. "Future design for manufacturing (DFM) technology must reduce design [non-recoverable expenditure] cost and directly address manufacturing [non-recoverable expenditures]—the cost of a mask set and probe card—which is well over $1 million at the 90 nm technology node and creates a significant damper on semiconductor-based innovation."

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  • S.V. Adve et al. (November 2008). "Parallel Computing Research at Illinois: The UPCRC Agenda" Archived 2018-01-11 at the Wayback Machine (PDF). Parallel@Illinois, University of Illinois at Urbana-Champaign. "The main techniques for these performance benefits—increased clock frequency and smarter but increasingly complex architectures—are now hitting the so-called power wall. The computer industry has accepted that future performance increases must largely come from increasing the number of processors (or cores) on a die, rather than making a single core go faster."

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