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20132026
most citedTrackable Island-model Genetic Algorithms at Wafer Scale

2 citations · 3 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.NE2026

Trust, but Verify: Rigorously Profiling Best-Effort High-Performance Computing for Digital Evolution

Matthew Andres Moreno, Santiago Rodriguez Papa, Charles Ofria +2

Developments in high-performance computing (HPC) technology continue to drastically increase quantities of available processing power. In the context of digital evolution, this exp…

cs.NE2025

A Scalable Trie Building Algorithm for High-Throughput Phyloanalysis of Wafer-Scale Digital Evolution Experiments

Vivaan Singhvi, Joey Wagner, Emily Dolson +2

Agent-based simulation platforms play a key role in enabling fast-to-run evolution experiments that can be precisely controlled and observed in detail. Availability of high-resolut…

cs.NE2024

Trackable Agent-based Evolution Models at Wafer Scale

Matthew Andres Moreno, Connor Yang, Emily Dolson +1

Continuing improvements in computing hardware are poised to transform capabilities for in silico modeling of cross-scale phenomena underlying major open questions in evolutionary b…

cs.NE2024★ 2 cited

Trackable Island-model Genetic Algorithms at Wafer Scale

Matthew Andres Moreno, Connor Yang, Emily Dolson +1

Emerging ML/AI hardware accelerators, like the 850,000 processor Cerebras Wafer-Scale Engine (WSE), hold great promise to scale up the capabilities of evolutionary computation. How…

cs.NE2024★ 1 cited

A Guide to Tracking Phylogenies in Parallel and Distributed Agent-based Evolution Models

Matthew Andres Moreno, Anika Ranjan, Emily Dolson +1

Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, in silico work with agent-based models provides an opportunity to coll…