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Issue No.03 - May/June (2012 vol.32)
pp: 122-134
Hadi Esmaeilzadeh , University of Washington
Emily Blem , University of Wisconsin—Madison
Renee St. Amant , University of Texas at Austin
Karthikeyan Sankaralingam , University of Wisconsin—Madison
Doug Burger , Microsoft Research
A key question for the microprocessor research and design community is whether scaling multicores will provide the performance and value needed to scale down many more technology generations. To provide a quantitative answer to this question, a comprehensive study that projects the speedup potential of future multicores and examines the underutilization of integration capacity—dark silicon—is timely and crucial.
dark silicon, modeling, power, technology scaling, multicore, Moore's law
Hadi Esmaeilzadeh, Emily Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger, "Dark Silicon and the End of Multicore Scaling", IEEE Micro, vol.32, no. 3, pp. 122-134, May/June 2012, doi:10.1109/MM.2012.17
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