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- W2000992769 abstract "In this paper, we propose C2-Bound, a data-driven analytical model, that incorporates both memory capacity and data access concurrency factors to optimize many-core design. C2-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, C2-Bound model finds memory bound factors significantly impact the optimal number of cores as well as their optimal silicon area allocations, especially for data-intensive applications with a none parallelizable sequential portion. Therefore, our model is valuable to the design of new generation many-core architectures that target big data processing, where working sets are usually larger than conventional scientific computing. These findings are evidenced by our detailed simulations, which show with C2-Bound the design space can be narrowed down significantly up to four orders of magnitude. C2-Bound analytic results can be either used in reconfigurable hardware environments or, by software designers, applied to scheduling, partitioning, and allocating resources among diverse applications." @default.
- W2000992769 created "2016-06-24" @default.
- W2000992769 creator A5057665558 @default.
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- W2000992769 date "2015-11-15" @default.
- W2000992769 modified "2023-09-25" @default.
- W2000992769 title "<i>C</i> <sup>2</sup> -bound" @default.
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- W2000992769 doi "https://doi.org/10.1145/2807591.2807641" @default.
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