activity
20132026
most citedTrackable Island-model Genetic Algorithms at Wafer Scale

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

collaborators

10 papers

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…

q-bio.PE2026

PhyloFrame: A DataFrame-based Library for Fast, Flexible Phylogenetic Computation

Matthew Andres Moreno, Jeet Sukumaran, Luis Zaman +1

PhyloFrame is a Python library for phylogenetic computation targeting the gap between specialist, compiler-optimized operations and flexible, script-based workflows -- with emphasi…

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…

q-bio.PE2025

Extending a Phylogeny-based Method for Detecting Signatures of Multi-level Selection for Applications in Artificial Life

Matthew Andres Moreno, Sanaz Hasanzadeh Fard, Luis Zaman +1

Multilevel selection occurs when short-term individual-level reproductive interests conflict with longer-term group-level fitness effects. Detecting and quantifying this phenomenon…

cs.DS2025

Downstream: efficient cross-platform algorithms for fixed-capacity stream downsampling

Connor Yang, Joey Wagner, Emily Dolson +2

Due to ongoing accrual over long durations, a defining characteristic of real-world data streams is the requirement for rolling, often real-time, mechanisms to coarsen or summarize…

cs.DS2024

Structured Downsampling for Fast, Memory-efficient Curation of Online Data Streams

Matthew Andres Moreno, Luis Zaman, Emily Dolson

Operations over data streams typically hinge on efficient mechanisms to aggregate or summarize history on a rolling basis. For high-volume data steams, it is critical to manage sta…

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…

q-bio.PE2013

Behavioral Strategy Chases Promote the Evolution of Prey Intelligence

Aaron P Wagner, Luis Zaman, Ian Dworkin +1

Predator-prey coevolution is commonly thought to result in reciprocal arms races that produce increasingly extreme and complex traits. However, such directional change is not inevi…