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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
BEGIN:VEVENT
DTSTART:20151118T200000Z
DTEND:20151118T203000Z
LOCATION:18AB
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: We propose C^2-bound, a data-driven analytical model, that incorporates both memory capacity and data access concurrency factors to optimize manycore design. C^2-bound is characterized by combining the newly proposed latency model, concurrent average memory access time (C-AMAT), with the well-known memory-bounded speedup model (Sun-Ni’s law) to facilitate computing tasks. Compared to traditional chip designs that lack the notion of memory concurrency and memory capacity, C^2-bound model finds memory bound factors significantly impact the optimal number of cores as well as their optimal silicon area allocations. Our model is valuable to the design of new generation manycore architectures that target big data processing, where working sets are usually larger than the conventional scientific computing. With C^2-bound, the design space can be narrowed down significantly up to four orders of magnitude. C^2-bound analytic results can be either used by reconfigurable hardware or, applied to scheduling and partitioning resources among diverse applications.
SUMMARY:C^2-Bound: A Capacity and Concurrency Driven Analytical Model for Manycore Design
PRIORITY:3
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