sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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HPTCDL: First Workshop for High Performance Technical Computing in Dynamic Languages

SESSION: HPTCDL: First Workshop for High Performance Technical Computing in Dynamic Languages

EVENT TYPE: Workshops

TIME: 9:00AM - 5:30PM

Organizer(s):Jiahao Chen, Alan Edelman, Andy R. Terrel, Wade Shen

ROOM:293

ABSTRACT:

Dynamic high--level languages such as Julia, Maple®, Mathematica®, MATLAB®, Octave, Python, R, and Scilab are rapidly gaining popularity with computational scientists and engineers, who often find these languages more productive for rapid prototyping of numerical simulation codes. However, writing legible yet performant code in dynamic languages remains challenging, which limits the scalability of code written in such languages, particularly when deployed on massively parallel architectures such as clusters, cloud servers, and supercomputers. This workshop aims to bring together users, developers, and practitioners of dynamic technical computing languages, regardless of language, affiliation or discipline, to discuss topics of common interest. Examples of such topics include performance, software development, abstractions, composability and reusability, best practices for software engineering, and applications in the context of visualization, information retrieval and big data analytics. http://jiahao.github.io/hptcdl-sc14/

Chair/Organizer Details:

Jiahao Chen - Massachusetts Institute of Technology

Alan Edelman - Massachusetts Institute of Technology

Andy R. Terrel - Continuum Analytics

Wade Shen - Massachusetts Institute of Technology Lincoln Laboratory

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