Seminar Details:

LANS Informal Seminar
"Computing in Optimization using Julia"

DATE: December 13, 2013

TIME: 10:30:00 - 11:30:00
SPEAKER: Miles Lubin, Ph.D. Student, Operations Research, Massachusetts Institute of Technology
LOCATION: Building 240, Room 1406-1407, Argonne National Laboratory

Julia, a new high-level programming language for scientific computing, claims to bridge the performance gap between highly expressive languages such as Python and MATLAB and low-level languages such as C, C++, and Fortran by incorporating recent advances in language and compiler design (such as just-in-time compilation). We evaluate these claims in the context of algorithms and software fundamental to the field of numerical optimization. We provide extensive cross-language benchmarks of an implementation of the simplex method for linear programming as a test of Julia's performance on low-level numerical tasks. We present our Julia-based modeling language, JuMP, for algebraic modeling of linear and quadratic mixed-integer programming problems with benchmark comparisons to state-of-the-art modeling software such as AMPL and Pyomo. Finally, we discuss extensions to nonlinear modeling, including evaluation of derivatives.


Please send questions or suggestions to Jeffrey Larson: jmlarson at anl dot gov.