Julia Computing, Inc.
Circuitscape is a widely used tool in landscape ecology. It borrows ideas from electronic circuit theory to predict connectivity in heterogeneous landscapes. We have re-implemented Circuitscape (originally a Python package) in Julia, providing a 4-8x benefit in speed and scalability. This talk will focus on two main thrusts: 1. The specific benefits that Julia provides over Python, and how that manifests in the end-user experience. The Julia package has several additional features as compared to the Python package: the ability to switch solvers seamlessly, single precision support, and the ability to provide parallelism on all three platforms (Mac, Linux and Windows). 2. How we developed a complete end-to-end product in pure Julia, from writing native Julia iterative solvers (AMG.jl) to packaging and shipping, including writing our own Windows installers.
Ranjan Anantharaman is a data scientist at Julia Computing. His interests span applied mathematics and numerical computing, and he enjoys working with computation across a variety of fields and domains.
