Julia Computing

Cataloging the visible universe through Bayesian inference in Julia at petascale

January 2019

Jeffrey Regier, Keno Fischer, Kiran Pamnany, Andreas Noack, Jarrett Revels, Maximilian Lam, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin Thomas, Prabhat

Julia: Dynamism and Performance Reconciled by Design

November 2018

Jeff Bezanson, Jiahao Chen, Benjamin Chung, Stefan Karpinski, Viral B. Shah, Jan Vitek and Lionel Zoubritzky

Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs

October 2018

Keno Fischer and Elliot Saba

Julia: A Fresh Approach to Numerical Computing

February 2017

Jeff Bezanson, Alan Edelman, Stefan Karpinski and Viral B. Shah

Array Operators Using Multiple Dispatch: A Design Methodology for Array Implementations in Dynamic Languages

February 2014

Jeff Bezanson, Jiahao Chen, Stefan Karpinski, Viral Shah and Alan Edelman

Fashionable Modelling with Flux

November 2018

Michael J Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal and Viral Shah

Julia Subtyping: A Rational Reconstruction

November 2018

Francesco Zappa Nardelli, Julia Belyakova, Artem Pelenitsyn, Benjamin Chung, Jeff Bezanson and Jan Vitek

Don't Unroll Adjoint: Differentiating SSA-Form Programs

October 2018

Michael J Innes

Parallel Prefix Polymorphism Permits Parallelization, Presentation & Proof

November 2014

Jiahao Chen and Alan Edelman

Novel algebras for advanced analytics in Julia

November 2013

Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner

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Julia Computing was founded with a mission to make Julia easy to use, easy to deploy and easy to scale. We operate out of Boston, London and Bangalore and we serve customers worldwide.