SC12 Home > SC12 Schedule > SC12 Presentation - Massively Parallel Model of Evolutionary Game Dynamics

SCHEDULE: NOV 10-16, 2012

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Massively Parallel Model of Evolutionary Game Dynamics

SESSION: ACM Student Research Competition Poster Session

EVENT TYPE: ACM Student Research Competition

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Torsten Hoefler

AUTHOR(S):Amanda E. Peters Randles

ROOM:East Entrance

To study the emergence of cooperative behavior, we have developed a scalable parallel framework for evolutionary game dynamics. An important aspect is the amount of history that each agent can keep. We introduce a multi-level decomposition method that allows us to exploit both multi-node and thread-level parallel scaling while minimizing communication overhead. We present the results of a production run modeling up to six memory steps for populations consisting of up to 10^18 agents, making this study one of the largest yet undertaken. The high rate of mutation within the population results in a non-trivial parallel implementation. The strong and weak scaling studies provide insight into parallel scalability and programmability trade-offs for large-scale simulations, while exhibiting near perfect weak and strong scaling on 16,384 tasks on Blue Gene/Q. We further show 99% weak scaling to 294,912 processors 82% strong scaling efficiency to 262,144 processors of Blue Gene/P.

Chair/Author Details:

Torsten Hoefler (Chair) - ETH Zurich

Amanda E. Peters Randles - Harvard University

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