Author Archives: Julia Computing, Inc.

Julia Computing’s Alan Edelman Discusses Julia on National Public Radio Morning Edition

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. The audio recording is available here.

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

About Julia Computing

Julia Computing was founded in 2015 by all of the co-creators of Julia to provide Julia users with Julia products, Julia training, and Julia support. Julia Computing is headquartered in Boston with offices in London and Bangalore.

Julia Computing’s Jane Herriman Joins NumFOCUS Board of Directors

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

About Julia Computing

Julia Computing was founded in 2015 by all of the co-creators of Julia to provide Julia users with Julia products, Julia training, and Julia support. Julia Computing is headquartered in Boston with offices in London and Bangalore.

Newsletter – September 2018

  1. Julia 1.0 Released at JuliaCon 2018
  2. JuliaTeam Launched by Julia Computing
  3. Julia with Tensor Processing Units (TPUs)
  4. NumFOCUS Julia Grant for BlockBandedMatrices.jl to Add Support for General Array Backends (GPU)
  5. Elegant Machine Learning Workshop with Julia and Flux at ODSC London Sept 19-22
  6. China Takes Worldwide Lead for Julia Downloads
  7. Julia Community Prizes Awarded at JuliaCon 2018
  8. DynamicalSystems.jl Wins DSWeb 2018 Software Contest Prize
  9. Julia Co-Creators Host Reddit Ask Me Anything (AMA)
  10. Advances in Engineering Software – Julia Special Issue
  11. Julia Computing Training
  12. Julia Computing Products and Support
  13. JuliaCon 2018 Videos
  14. Julia 1.0 Release Takes Tech World by Storm
  15. Latest Julia Blog Posts
  16. Upcoming Julia Events
  17. Recent Julia Events
  18. Julia Meetup Groups
  19. Julia Jobs, Fellowships and Internships
  20. Contact Us
  21. About Julia and Julia Computing

1. Julia 1.0 Released at JuliaCon 2018:

The much-anticipated release of Julia 1.0 was celebrated at JuliaCon 2018. The release was live-streamed and the video is available on YouTube. The blog post announcing the release is available in English, Spanish and Chinese (Traditional and Simplified)..

2. JuliaTeam Launched by Julia Computing:

Julia Computing announced a new product called JuliaTeam during JuliaCon 2018. JuliaTeam is an enterprise solution that works seamlessly behind your organization’s firewall and allows you to develop, install, manage and control public and private packages.

3. Julia with Tensor Processing Units (TPUs):

Do you have an application or proposal using Julia with Tensor Processing Units (TPUs)? We want to partner with you to support and showcase Julia applications on TPUs. Please contact us for details.

4. NumFOCUS Julia Grant to Adapt BlockBandedMatrices.jl to Add Support for General Array Backends (GPU):

NumFOCUS is providing a $3,000 grant to adapt BlockBandedMatrices.jl to add support for General Array Backends (GPU). The grant will fund the contributions of Mayeul d’Avezac, Senior Research Software Engineer in the Research Computing Service at Imperial College London. Sheehan Olver is the package developer.

5. Elegant Machine Learning Workshop with Julia and Flux at Open Data Science Conference (ODSC) London Sept 19-22:

Julia Computing’s Avik Sengupta and Mike Innes will be leading an Elegant Machine Learning Workshop with Julia and Flux at the Open Data Science Conference (ODSC) in London Sept 19-22. Register before Sept 7 for 30% off, and use the code JULIACON when you register for an additional discount.

6. China Takes Worldwide Lead for Julia Downloads:

For the first time ever, China became the number one country for Julia downloads. During the two weeks after Julia’s 1.0 release, China accounted for more than 34% of all Julia downloads, followed by the United States at 22%, Japan at 5%, Germany at 4%, the United Kingdom at 3% and more than 140 other countries.

7. Julia Community Prizes Awarded at JuliaCon 2018:

The 2018 Julia Community Prizes(and a $1,000 award) were awarded to

  • Tim Besard, for extending Julia natively to GPUs

  • Katharine Hyatt, for enhancing Julia’s test suite and documentation

  • Chris Rackauckas, for developing JuliaDiffEq and community engagement

  • Elliott Saba, for design and stewardship of Julia’s binary infrastructure

8. DynamicalSystems.jl Wins DSWeb 2018 Software Contest Prize:

DynamicalSystems.jl was awarded the DSWeb 2018 Software Contest Prize. DynamicalSystems.jl is a software library for the exploration of chaos and and nonlinear dynamics written entirely in Julia. DSWeb Dynamical Systems Software aims to collect all available software on dynamical software theory. The project was launched 20 years ago at the University of Minnesota Institute for Mathematics and its Applications as part of the Emerging Applications of Dynamical Systems special year.

9. Julia Co-Creators Host Reddit Ask Me Anything (AMA):

Julia co-creators Jeff Bezanson, Stefan Karpinski, Viral Shah and Alan Edelman and core developer Keno Fischer hosted a Reddit Ask Me Anything (AMA) on Wednesday Aug 15. This Reddit Ask Me Anything (AMA) has more than 41 thousand views and more than 300 comments which can be read here.

10. Advances in Engineering Software – Julia Special Issue:

Advances in Engineering Software is producing a Julia special issue, now open for submission. The submission deadline is October 15, 2018.

11. Julia Computing Training:

  • Live Online Instructor-Led Julia Training: Click here to register Julia Computing’s Intro to Julia course on Sep 17-18 or Nov 5-6 or for Artificial Intelligence and Machine Learning in Julia on Sep 24-25 or Nov 12-13
  • Customized Julia Training from Julia Computing: Contact us for scheduling and pricing for customized in-person or online training for you and your organization including courses such as Intro to Julia, Intermediate and Advanced Julia, Artificial Intelligence and Machine Learning in Julia, Optimization in Julia and more.

12. Julia Computing Products and Support: Julia Computing provides training, support and products for Julia users including:

  • JuliaPro for data science professionals and researchers to install and run Julia with more than one hundred carefully curated popular Julia packages on a laptop or desktop computer.
  • JuliaTeam for enterprises to work seamlessly behind your firewall, develop private packages as easily as public ones, permission and control Julia package installation, versions and builds across your organization.
  • JuliaRun for deploying Julia at scale on dozens, hundreds or thousands of nodes in the public or private cloud, including AWS and Microsoft Azure.
  • JuliaFin for financial modeling, algorithmic trading and risk analysis including Bloomberg and Excel integration, Miletus for designing and executing trading strategies and advanced time-series analytics.
  • JuliaBox to use Julia in a Jupyter notebook from a Web browser with no download or installation required.

13. JuliaCon 2018 Videos:

Hosted by University College London, JuliaCon 2018 was the biggest and best JuliaCon yet. More than 130 JuliaCon 2018 videos are available on YouTube including:

14. Julia 1.0 Release Takes Tech World by Storm:

The release of Julia 1.0 generated a surge of news and blog coverage in English, Spanish, Chinese, French, German, Hungarian, Czech, Russian, Dutch, Norwegian, Swedish, Danish, Finnish and Japanese.

English (40)

CHINESE (15)

Dutch (3)

French (3)

German (3)

Japanese (3)

Russian (2)

Danish (1)

Finnish (1)

Hungarian (1)

Norwegian (1)

Spanish (1)

Swedish (1)

15. Latest Julia Blog Posts

16. Upcoming Julia Events

17. Recent Julia Events

18. Julia Meetup Groups:

There are 34 Julia Meetup groups worldwide with 7,147 members. If there’s a Julia Meetup group in your area, we hope you will consider joining, participating and helping to organize events. If there isn’t, we hope you will consider starting one.

19. Julia Jobs, Fellowships and Internships

Do you work at or know of an institution looking to hire Julia programmers as staff, research fellows or interns? Would your employer be interested in hiring interns to work on open source packages that are useful to their business? Help us connect members of our community to great opportunities by sending us an email, and we’ll get the word out!

There are more than 200 Julia jobs currently listed on Indeed.com, including jobs at Google, Facebook, IBM, KPMG, Ernst & Young, Booz Allen Hamilton, Comcast, Zulily, National Renewable Energy Research Laboratory, Los Alamos National Laboratory, Brown, Princeton, Columbia, Notre Dame, MIT, University of Chicago and many more.

9. Contact Us

Please contact us if you wish to:

  • Purchase or obtain license information for Julia products such as JuliaPro, JuliaPro Enterprise, JuliaRun, JuliaDB, JuliaFin or JuliaBox
  • Obtain pricing for Julia consulting projects for your organization
  • Schedule Julia training for your organization
  • Share information about exciting new Julia case studies or use cases
  • Spread the word about an upcoming conference, workshop, training, hackathon, meetup, talk or presentation involving Julia
  • Partner with Julia Computing to organize a Julia meetup, conference, workshop, training, hackathon, talk or presentation involving Julia
  • Submit a Julia internship or job posting

About Julia and Julia Computing

Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and many other domains. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. For example, Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, the world’s sixth-largest supercomputer. With more than 1.8 million downloads and +101% annual growth, Julia is one of the top programming languages developed on GitHub. Julia adoption is growing rapidly in finance, insurance, machine learning, energy, robotics, genomics, aerospace, medicine and many other fields.

Julia Computing was founded in 2015 by all the creators of Julia to develop products and provide professional services to businesses and researchers using Julia. Julia Computing offers the following products:

To learn more, please visit the Case Studies section on the Julia Computing Website.

Julia users, partners and employers hiring Julia programmers in 2018 include Amazon, Apple, BlackRock, Booz Allen Hamilton, Capital One, Comcast, Disney, Ernst & Young, Facebook, Ford, Google, IBM, Intel, KPMG, Microsoft, NASA, Oracle, PwC, Uber, and many more.