Julia : an efficient dynamic language for technical computing
Author(s)
Bezanson, Jeffrey Werner
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Alternative title
Efficient dynamic language for technical computing
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Alan Edelman.
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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.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 56-60).
Date issued
2012Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.