JuliaHub Blog: Insights & Updates

Finance Seminar | JuliaHub

Written by Andrew Claster | May 20, 2022

Julia Computing Finance Seminar: Julia Computing returns to New York City on June 1 with a new Julia Computing Finance Seminar. The seminar is free to attend but registration is required. Please click here to register. Presenters include Julia co-creator and Julia Computing co-founder and Chief Product Officer Stefan Karpinski, Julia co-creator and Julia Computing co-founder and Chief Technology Officer Jeff Bezanson, and Julia Computing co-founder and Chief Operating Officer Deepak Vinchhi. Participants will learn how Julia is shaping the future of financial technology, increasing the speed, accuracy, and sophistication of financial modeling, reducing computing costs, and providing traders, banks, insurers, analysts, and others with a competitive edge when every millisecond counts. Learn how successful financial companies and organizations such as BlackRock, State Street, Aviva, and the Federal Reserve Bank of New York are using Julia to:

  • Improve productivity, speed and performance

  • Reduce computing costs and time to market

  • Deploy Julia in production and manage enterprise requirements including security, governance, licenses, private package management, access control, scalability, and continuous integration

Seating is limited so please register today! The seminar will take place from 6-8 pm at 15 W 38th St. Drinks and a light dinner will be served.

Free Julia Computing Webinar - Stipple, Building An Interactive App for Data Exploration and Model Explanation: Register today for a free one hour Webinar presented by Jeremie Bouchard (Julia Computing) on Stipple, Building an Interactive App for Data Exploration and Model Explanation. The Webinar will take place on Thursday May 26 from 12 noon - 1 pm Eastern (US). Registration is free.

JuliaSim Webinar Now Available Online: JuliaSim is a next generation cloud-based modeling and simulation platform, combining the latest techniques from scientific machine learning with equation-based digital twin modeling and simulation. Click here to watch JuliaSim: Model Predictive Control (MPC) and Proportional-Integrated-Derivative (PID) Control, a free one-hour Webinar presented by Julia Computing’s Dr. Fredrik Bagge Carlson

Julia Computing at Advanced Research Projects Agency-Energy (ARPA-E) Energy Innovation Summit: In 2019, Julia Computing was awarded funding through the ARPA-E DIFFERENTIATE program to “develop a neural component machine learning tool to reduce the total energy consumption of heating, ventilation and air conditioning (HVAC) systems in buildings.” Julia Computing CEO Dr. Viral Shah will present the latest update at the ARPA-E Energy Innovation Summit May 23-25. Click here for more information.

GPU Programming with Julia: Dr. Samuel Omlin (CSCS - Swiss National Supercomputing Center) and Dr. Tim Besard (Julia Computing) presented an 8.5 hour course on GPU Programming with Julia at CSCS last year. This course is now available for free online. Course materials are available on GitHub.

JuliaHub: JuliaHub is the entry point for all things Julia: explore the ecosystem, build packages and deploy a supercomputer at the click of a button. JuliaHub also allows you to develop Julia applications interactively using a browser-based IDE or by using the Pluto notebook environment and then scale workloads to thousands of cores. Version 5 features a brand new user interface, reduced app startup latency, and many more usability enhancements. JuliaHub is the easiest way to start developing in Julia or share your work using dashboards and notebooks.

More information is available in these two presentations from Dr. Matt Bauman (Julia Computing):

JuliaSim: JuliaSim is a next generation cloud-based modeling and simulation platform, combining the latest techniques from scientific machine learning with equation-based digital twin modeling and simulation. More information about JuliaSim is available here.

Pumas: Pumas is the revolutionary advanced healthcare analytics platform that facilitates quantitative capabilities across the drug development cycle. Designed from the ground up in Julia, Pumas allows users to scale, integrate and accelerate their quantitative scientific activities all under one umbrella. Pumas is a product of Pumas-AI and deployed through the JuliaHub platform from Julia Computing to leverage JuliaHub's ease of use and scalability. Julia Computing is a technology partner and exclusive reseller of Pumas. Click here for more information.

Converting from Proprietary Software to Julia: Are you looking to leverage Julia’s superior speed and ease of use, but limited due to legacy software and code? Julia Computing and our partners can help accelerate replacing your existing proprietary applications, improve performance, reduce development time, augment or replace existing systems and provide an extended trusted team to deliver Julia solutions. Leverage experienced resources from Julia Computing and our partners to get your team up and running quickly. For more information, please contact us.

Careers at Julia Computing: Julia Computing is a fast-growing tech company with fully remote employees in 11 countries on 4 continents. Click the links below to learn more about exciting careers and internships with Julia Computing.

Sales

Human Resources

Engineering

Product and Program Management

Internships

Please click here for more information and to apply.

JuliaCon 2022: JuliaCon 2022 will be free and online July 27-29.

  • Register for Free Today! Registration is required. Registration is free but donations are strongly encouraged for those who are able and want to support JuliaCon and the Julia community. Donations support initiatives such as Julia Community Prizes, Julia Summer of Code, Diversity & Inclusion, Infrastructure and more.

  • Sponsorship: JuliaCon sponsorships are available at the Platinum ($30,000), Gold ($15,000) and Silver ($5,000) level. Current and recent JuliaCon sponsors include Julia Computing, Julius Technologies, RelationalAI, Beacon Biosignals, PumasAI, QuEra,Conning, Invenia, Metalenz, NumFOCUS, DataChef, Jeffrey Sarnoff, Amazon, Facebook, Google, Microsoft, Intel, Nvidia, JP Morgan, Capital One, BlackRock, Invenia, Gordon and Betty Moore Foundation, Juspay, Zapata, University of Maryland School of Pharmacy, Alfred P. Sloan Foundation, Replit, Maven, Gambit, Tangent Works, Alan Turing Institute, EVN and Voxel8.

  • Julia Community Prizes: The 5th annual Julia Community Prizes will be awarded during JuliaCon. You are encouraged to nominate groups or members of the Julia community for their contributions to the Julia language, community and/or ecosystem.

5x Faster than PyTorch - Scientific Machine Learning in Julia: Chris Elrod, Niklas Korsbo and Chris Rackauckas (Julia Computing) have published a new blog post about Scientific Machine Learning (SciML). They use SimpleChains.jl to achieve results 5x faster than PyTorch.

Julia Computing Selected as 2022 Innovation Showcase Finalist by MIT Sloan CIO Symposium: Julia Computing has been selected by MIT’s Sloan CIO Symposium as a 2022 Innovation Showcase Finalist. The selected outstanding early-stage companies have developed cutting-edge solutions that combine both value and innovation to the Enterprise IT space. The finalists will receive key exposure to many of the world's most creative and influential IT executives at the in-person Symposium from May 22-23, 2022.

Climate Modeling Using Julia: MIT News describes recent advancements in climate modeling using Julia. The Climate Modeling Alliance (CliMA) is a joint project including scientists from MIT, Caltech, the Naval Postgraduate School and NASA’s Jet Propulsion Lab. “For climate models to take full advantage of [recent] advancements, there’s only one option: starting over with a modern, more flexible language. Written in Julia, a part of JuliaLab’s Scientific Machine Learning technology, and spearheaded by Alan Edelman, a professor of applied mathematics in MIT’s Department of Mathematics, CliMA will be able to harness far more data than the current models can handle.”

Julia Computing’s Avik Sengupta Recognized by Best Startup UK: Avik Sengupta (Julia Computing VP Engineering) has been recognized by Best Startup UK as one of London’s Most Impressive and Successful VPs in Cloud Computing. Click here to learn more.

Julia Computing’s Keno Fischer Celebrates Nvidia Open Sourcing Kernel Drivers: Nvidia has open-sourced Linux kernel GPU modules. Keno Fischer, Julia Computing co-founder and CTO (R&D) was among the first to celebrate: “Congratulations to Nvidia for finally open sourcing their kernel drivers. Long time coming, but absolutely the right move. Looking forward to sending some [pull requests] :)” More information is available here.

Julia Computing’s Chris Rackauckas Talks Differential Equations with MIT News: Chris Rackauckas, Julia Computing Director of Modeling and Simulation, discussed differential equations, scientific machine learning (SciML) and more as part of a Q&A with MIT News. Click here for more.

SciMLCon Recordings Now Available Online: If you missed or want to rewatch the first annual SciMLCon, the full proceedings are now available online. Click here to watch.

Talk Julia Podcast: The Talk Julia weekly podcast continued with several new episodes:

  • Episode 15: The Julia REPL is Amazing (with Miguel Raz)

  • Episode 16: Fast Optimization Using JuMP.jl (with Miles Lubin)

  • Episode 17: Julia for Data Analysis (with Bogumił Kamiński)

  • Episode 18: Plotting in Julia (Plots.jl, GadFly.jl, and More)

  • Episode 19: Is Julia Better Than JAX For Machine Learning?

Learn Julia with Us - Your First Julia Code: Julia Gender Inclusive continues the Learn Julia with Us series with hosts Kyla McConnell and Julia Müller.

Julia and Julia Computing in the News

Julia Blog Posts

Upcoming Julia Events

Recent Julia Online Events

Contact Us: Please contact us if you wish to:

  • Purchase or obtain license information for products such as JuliaHub, JuliaSim or Pumas

  • Obtain pricing for Julia consulting projects for your organization

  • Schedule online Julia training for your organization

  • Share information about exciting new Julia case studies or use cases

  • Spread the word about an upcoming online event involving Julia

  • Partner with Julia Computing to organize a Julia event online

  • Submit a Julia internship, fellowship or job posting

About Julia Computing and Julia

Julia Computing's mission is to develop products that bring Julia's superpowers to its customers. Julia Computing's flagship product is JuliaHub, a secure, software-as-a-service platform for developing Julia programs, deploying them, and scaling to thousands of nodes. It provides the power of a supercomputer at the fingertips of every data scientist and engineer. In addition to data science workflows, JuliaHub also provides access to cutting-edge products such as Pumas for pharmaceutical modeling and simulation, JuliaSim for multi-physics modeling and simulation, and Cedar for electronic circuit simulation, combining traditional simulation with modern SciML approaches.

Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. 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. Julia has been downloaded by users at more than 10,000 companies and is used at more than 1,500 universities. Julia co-creators are the winners of the 2019 James H. Wilkinson Prize for Numerical Software and the 2019 Sidney Fernbach Award. Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, one of the ten largest and most powerful supercomputers in the world.
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