Julia: A high-performance dynamic programming language for technical computing

Alan Edelman, Massachusetts Institute of Technology
January 29th, 2013 at 4PM–5PM in 891 Evans Hall [Map]

Julia is a high-level, high-performance dynamic programming language for technical computing. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. The library, largely written in Julia itself, also integrates mature, best-of-breed C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. Julia programs are typically organized around multiple dispatch; by defining functions and overloading them for different combinations of argument types, which can also be user-defined. Julia has a rapidly growing community comprising of academics, professionals and students, with developers contributing a number of external packages through Julia’s built-in package manager. Julia is open source and available under the MIT license.

This is joint work with Viral B. Shah, Jeff Bezanson, and Stefan Karpinski.

Julia website: http://www.julialang.org