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Julia Computing’s Jane Herriman Joins NumFOCUS Board of Directors

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Julia Computing’s Jane Herriman Joins NumFOCUS Board of Directors

Julia Computing’s Jane Herriman Joins NumFOCUS Board of Directors

Julia Computing’s Jane Herriman Joins NumFOCUS Board of Directors

Date Published

Sep 25, 2018

Sep 25, 2018

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Date Published

Sep 25, 2018

Contributors

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Austin, TX – Julia Computing Director of Diversity and Outreach Jane Herriman has joined the NumFOCUS Board of Directors for 2018-2019.

Jane Herriman is a PhD candidate in Materials Science at Caltech and will soon rejoin Lawrence Livermore National Laboratory as a Lawrence Graduate Scholar.

NumFOCUS is a non-profit organization that promotes sustainable software, open code development and reproducible scientific research. NumFOCUS supports Jupyter, which was named for Julia, Python and R.

Jane Herriman says, "NumFOCUS's work within scientific computing strengthens the open source infrastructure upon which scientists rely, provides infrastructure and support for open source contributors, and helps build a stronger and more vibrant open source scientific computing community. I am excited to learn more about and help support the many valuable open source scientific computing projects supported by NumFOCUS."

  • Julia is free and open source with a large and growing community of more than 700 contributors, 2 million downloads, 1,900 packages, 41 thousand GitHub stars (cumulative for Julia language and Julia packages) and +101% annual download growth

  • Julia combines the high-level productivity and ease of use of Python and R with the lightning-fast speed of C++

  • Julia users, partners and employers hiring Julia programmers include Amazon, Apple, BlackRock, Booz Allen Hamilton, Capital One, Comcast, Disney, Ernst & Young, Facebook, Federal Aviation Administration, Federal Reserve Bank of New York, Ford, Google, IBM, Intel, KPMG, Microsoft, NASA, Oracle, PwC and Uber.

  • Julia is used at more than 700 universities, research laboratories and research institutions worldwide including MIT, UC Berkeley, Harvard, Stanford, University of Chicago, Caltech, Carnegie Mellon, Cambridge, Oxford, Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory, Los Alamos National Laboratory, National Energy Research Scientific Computing Center, Lawrence Livermore National Laboratory, Alan Turing Institute, Max Planck Institute, National Renewable Energy Laboratory, Argonne National Laboratory, Ames Laboratory and Barts Cancer Institute.

  • Julia is the only high-level dynamic language that has run at petascale

  • Julia leveraged 650,000 cores and 1.3 million threads on 9,300 Knights Landing (KNL) nodes to catalog 188 million astronomical objects in just 14.6 minutes using the world’s sixth most powerful supercomputer

  • Julia provides speed and performance improvements of 1,000x or more for applications such as insurance risk modeling and astronomical image analysis

  • Julia delivers vast improvements in speed and performance on a wide range of architectures from a single laptop to the world’s sixth most powerful supercomputer, and from one node to thousands of nodes including multithreading, GPU and parallel computing capabilities

  • Julia powers the Federal Aviation Administration’s NextGen Aircraft Collision Avoidance System (ACAS-X)BlackRock’s trademark Aladdin analytics platform and the New York Federal Reserve Bank’s Dynamic Stochastic General Equilibrium (DSGE) macroeconomic model

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Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

Authors

JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. Julia is the fastest and easiest high productivity language for scientific computing. Julia is used by over 10,000 companies and over 1,500 universities. Julia’s creators won the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.

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