Circuitscape is one of the most popular tools to measure landscape connectivity, using concepts from electrical circuit theory. Ecologists can model landscapes as large resistance maps and then compute current maps and voltage potentials at various parts on the landscape. Computationally, this involves constructing a large graph and using a sparse solver. This tool has originally been written in Python, and this talk will be about porting it to Julia as well as improving the solver in the package. This talk will also focus on performance comparisons between the Julia and Python versions.
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.
Thursday June 22, 2017 3:15pm - 3:27pm PDT
West PauleyPauley Ballroom, Berkeley, CA
