Julia : an efficient dynamic language for technical computing

Abstract

Dynamic programming languages have become popular for scientific computing. They are generally considered highly productive, but lacking in performance. This thesis presents a new dynamic language for technical computing, designed for performance from the beginning by adapting and extending modem programming language techniques. A design based on generic functions and a rich type system simultaneously enables an expressive programming model and successful type inference, leading to good performance for a wide range of programs. In our system, more behavior can be defined in libraries and user code, allowing our infrastructure to be shared across disciplines.