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UID:submissions.supercomputing.org_SC25_sess533_post164@linklings.com
SUMMARY:Wafer-Scale Simulation of Mutator Allele Dynamics in Large Asexual
  Populations
DESCRIPTION:Matthew Andres Moreno (University of Michigan), Emily Dolson (
 Michigan State University), and Luis Zaman (University of Michigan)\n\nWit
 hin evolving microbial populations, genes that elevate mutation rate impos
 e a fundamental trade-off: on one hand, increasing harmful mutations among
  offspring, but, on the other, allowing more opportunities for rare benefi
 cial mutations. Existing single-CPU agent-based simulation work suggests t
 hat increased population size should generally favor the proliferation of 
 mutator alleles due to "hitch-hiking" effects associated with beneficial m
 utation discovery. However, in contrast to this expectation, this outcome 
 is often not the case in large asexual populations found in nature. To add
 ress this knowledge gap, we leveraged the 850,000-processor Cerebras Wafer
 -Scale Engine (WSE) to increase simulation scale up to 1.5 billion-agent p
 opulations. In benchmarks, WSE provided 294× speedup over GPU and 111,091×
  speedup over single-core CPU execution. Among other results, our experime
 nts indicate that limitation of adaptive potential (i.e., few beneficial m
 utations available) can produce a tertiary regime where complete mutator a
 llele takeover becomes disfavored at very large population sizes.\n\nTag: 
 Research & ACM SRC Posters\n\nRegistration Category: Technical Program Reg
  Pass\n\nSession Chairs: Kento Sato (RIKEN Center for Computational Scienc
 e (R-CCS)); Chris Schlipalius (Pawsey Supercomputing Research Centre; Comm
 onwealth Scientific and Industrial Research Organisation (CSIRO), Australi
 a); and Anja Gerbes (Georg-August-Universität Göttingen)\n\n
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