sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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C^2-Bound: A Capacity and Concurrency Driven Analytical Model for Manycore Design

SESSION: Performance Tools and Models


EVENT TAG(S): Performance

TIME: 2:00PM - 2:30PM

SESSION CHAIR(S): Kalyan Kumaran

AUTHOR(S):Yu-Hang Liu, Xian-He Sun



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.

Chair/Author Details:

Kalyan Kumaran (Chair) - Argonne National Laboratory|

Yu-Hang Liu - Illinois Institute of Technology

Xian-He Sun - Illinois Institute of Technology

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society