Integrating population genetics into community ecology theory is a major goal in ecology and evolution, but analyzing the resulting models is computationally daunting. Here we describe sPEGG (simulatingPhenotypicEvolution on General PurposeGraphics Processing Units (GPGPUs)), an open-source, multi-species forward-time population genetics simulator. Using a single commodity GPGPU instead of a single central processor, we find sPEGG can accelerate eco-evolutionary simulations by a factor of over 200, comparable to performance on a small-to-medium sized computer cluster.
@article{arxiv.1603.09255,
title = {sPEGG: high throughput eco-evolutionary simulations on commodity graphics processors},
author = {Kenichi W. Okamoto and Priyanga Amarasekare},
journal= {arXiv preprint arXiv:1603.09255},
year = {2016}
}