Scaling a code in the human dimension

Authors:
Matthew J. Turk
Affiliations:
Columbia University, New York, NY
Venue:
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
Year:
2013

Citing 3
Cited 0

Producing Open Source Software: How to Run a Successful Free Software Project

Producing Open Source Software: How to Run a Successful Free Software Project
Scientific software production: incentives and collaboration

Proceedings of the ACM 2011 conference on Computer supported cooperative work
Data Analysis and Visualization in High-Performance Computing

Computer

Quantified Score

Hi-index	0.00

Visualization

Abstract

As scientists' needs for computational techniques and tools grow, they cease to be supportable by software developed in isolation. In many cases, these needs are being met by communities of practice, where software is developed by domain scientists to reach pragmatic goals and satisfy distinct and enumerable scientific goals. yt is a visualization and analysis toolkit built around physically-motivated inquiry of astrophysical data, deployed widely across XSEDE systems. Enzo is an adaptive mesh refinement platform for astrophysical simulations. We present techniques that have been successful in growing and engaging communities of practice, specifically in the yt and Enzo communities, and suggest that their successful application in the relatively small computational astrophysics community be viewed as a testbed for wider deployment in the computational science and XSEDE communities.