Jeff Bezanson to Present Julia Language at Stanford EE Colloquium
Jeff Bezanson, a graduate student at MIT and key developer of the Julia programming language, is scheduled to deliver a talk at the Stanford EE Computer Systems Colloquium on February 29, 2012. The presentation, titled "Julia: A Fast Dynamic Language For Technical Computing," will explore Julia's design as a high-level, dynamic language capable of achieving performance speeds comparable to statically-compiled languages like C or FORTRAN. Bezanson will highlight Julia's powerful type system and its suitability for technical computing tasks traditionally handled by MATLAB and R. The abstract outlines a vision for a new era in technical computing where high-level libraries replace low-level code, alongside developments in cloud API integration and web-based collaboration platforms aiming to make supercomputing as accessible as Google Docs. Bezanson, who previously worked at Interactive Supercomputing on MATLAB extensions, brings significant experience in technical computing applications. The event will be webcast live, with video recordings made available subsequently. This announcement highlights significant academic and industrial interest in emerging programming technologies designed to bridge the gap between ease of use and high-performance computing.
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Jeff Bezanson to Present Julia Language at Stanford EE Colloquium
Jeff Bezanson, a graduate student at MIT and key developer of the Julia programming language, is scheduled to deliver a talk at the Stanford EE Computer Systems Colloquium on February 29, 2012. The presentation, titled "Julia: A Fast Dynamic Language For Technical Computing," will explore Julia's design as a high-level, dynamic language capable of achieving performance speeds comparable to statically-compiled languages like C or FORTRAN. Bezanson will highlight Julia's powerful type system and its suitability for technical computing tasks traditionally handled by MATLAB and R. The abstract outlines a vision for a new era in technical computing where high-level libraries replace low-level code, alongside developments in cloud API integration and web-based collaboration platforms aiming to make supercomputing as accessible as Google Docs. Bezanson, who previously worked at Interactive Supercomputing on MATLAB extensions, brings significant experience in technical computing applications. The event will be webcast live, with video recordings made available subsequently. This announcement highlights significant academic and industrial interest in emerging programming technologies designed to bridge the gap between ease of use and high-performance computing.
JuliaLang - The Julia programming language