  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 ($\underline{\textrm{s}}\textrm{imulating}$
$\underline{\textrm{P}}\textrm{henotypic}$
$\underline{\textrm{E}}\textrm{volution}$ on
$\underline{\textrm{G}}\textrm{eneral Purpose}$
$\underline{\textrm{G}}\textrm{raphics Processing Units}$ (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.
