activity
20212026
most citedConduit: A C++ Library for Best-effort High Performance Computing

4 citations · 11 across the 7 of their papers we have counts for

collaborators

8 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.PE2024★ 3 cited

Phylotrack: C++ and Python libraries for in silico phylogenetic tracking

Emily Dolson, Santiago Rodriguez-Papa, Matthew Andres Moreno

In silico evolution instantiates the processes of heredity, variation, and differential reproductive success (the three "ingredients" for evolution by natural selection) within dig…

q-bio.PE2024★ 1 cited

Ecology, Spatial Structure, and Selection Pressure Induce Strong Signatures in Phylogenetic Structure

Matthew Andres Moreno, Santiago Rodriguez-Papa, Emily Dolson

Evolutionary dynamics are shaped by a variety of fundamental, generic drivers, including spatial structure, ecology, and selection pressure. These drivers impact the trajectory of…

cs.NE2024★ 1 cited

Case Study of Novelty, Complexity, and Adaptation in a Multicellular System

Matthew Andres Moreno, Santiago Rodriguez Papa, Charles Ofria

Continuing generation of novelty, complexity, and adaptation are well-established as core aspects of open-ended evolution. However, it has yet to be firmly established to what exte…

cs.DS2024★ 2 cited

Analysis of Phylogeny Tracking Algorithms for Serial and Multiprocess Applications

Matthew Andres Moreno, Santiago Rodriguez Papa, Emily Dolson

Since the advent of modern bioinformatics, the challenging, multifaceted problem of reconstructing phylogenetic history from biological sequences has hatched perennial statistical…

cs.DS2024

Algorithms for Efficient, Compact Online Data Stream Curation

Matthew Andres Moreno, Santiago Rodriguez Papa, Emily Dolson

Data stream algorithms tackle operations on high-volume sequences of read-once data items. Data stream scenarios include inherently real-time systems like sensor networks and finan…