Boston, MA – Julia Computing Chief Scientist Dr. Alan Edelman discussed the launch of Julia 1.0 on National Public Radio Morning Edition on WBUR Boston.
Dr. Edelman is a co-founder of Julia Computing, co-creator of the Julia language, MIT Professor of Applied Mathematics and Computer Science and Director of the MIT Julia Lab.
Julia 1.0 was launched at JuliaCon 2018 at University College London last month.
Dr. Edelman explained that Julia solves the two language problem because it’s both fast and easy to use: “Many of the folks around thought that was impossible. They thought it was some sort of law of physics – you could have one or the other, but there was no way you could have your cake and eat it too.”
National Public Radio Morning Edition is the most listened to radio news broadcast in the United States.
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
