Parallel Computing and Multi-Threading Using JuliaHub: JuliaHub is the best, fastest and easiest way to leverage Julia’s parallel computing and multi-threading capabilities. JuliaHub Sales Engineer Jacob Vaverka has created three resources to help users leverage Julia’s parallel computing and multi-threading capabilities using JuliaHub:
Pluto Notebook Competition: JuliaHub is pleased to announce the winners of the 2023 Pluto Notebook Competition. The winners are:
The winners received cash prizes plus free compute hours on JuliaHub.com. The notebooks were judged based on the following 3 criteria:
Free Webinars from JuliaHub: JuliaHub provides free Webinars covering a range of Julia topics. The Webinars are free but advance registration is required and space is limited. Please click the links below to register.
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Webinar |
Presenter |
Date |
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Jacob Vaverka, Sales Engineer |
Tues Sept 26, 11:30 am - 12:30 pm Eastern (US) |
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Deep Datta, Product Director |
Thurs Sept 28, 1-2 pm Eastern (US) |
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APIs and Custom Julia Development on JuliaHub |
Morten Piibeleht, Software Engineer |
Wed Oct 11, 2-3 pm Eastern (US) |
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Avinash Subramanian, Lead developer - JuliaSim HVAC |
Thurs Oct 19, 11 am -12 pm Eastern (US) |
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Yingbo Ma, Engineering Team Lead |
Wed Nov 2, 1-2 pm Eastern (US) |
JuliaSim Now Runs Locally or Via Browser: JuliaSim provides best-in-class modeling and simulation tools. Now you can choose whether to install JuliaSim on your personal computer or access JuliaSim via your browser using JuliaHub. Instructions for local installation are available here. JuliaSim modules available through the local registry include:
These tools are free for academic and non-commercial usage. Commercial users can make use of JuliaHub’s standard tier to explore these tools and the growing JuliaSim ecosystem. Stay tuned for coming webinars and tutorials which will share all of the ways industrial engineers are making use of these tools and more. Click here for documentation.
Dr. Chris Rackauckas Reviews New JuliaSim Capabilities at JuliaCon: Dr. Chris Rackauckas, JuliaHub VP of Modeling and Simulation, reviewed new JuliaSim capabilities during JuliaCon. Click here to learn more.
Dr. Michael Tiller Joins JuliaHub as Senior Director of Product Management for JuliaSim: JuliaHub is pleased to welcome Dr. Michael Tiller as Senior Director of Product Management for JuliaSim. Dr. Michael Tiller is a Modelica contributor, creator of Modelica University and author of two books including “Modelica by Example”. JuliaSim is the next-generation cloud-based platform for model-based design from JuliaHub that uses modern scientific machine learning (SciML) techniques and equation-based digital twin modeling and simulation to accelerate simulations by up to 500x. Click here for more.
Secure Julia Coding Best Practices: A new white paper from JuliaHub provides a set of best practices for programming securely in Julia. Click here to read.
JuliaCon 2023 Videos Available on YouTube: More than 200 JuliaCon 2023 presentations are now available on YouTube. Click here to watch them all.
JuliaHub Presenters at JuliaCon 2023: JuliaHub presenters were part of at least 24 JuliaCon presentations this year. Click here for a list of JuliaHub presenters at JuliaCon 2023 and links to watch their presentations.
Julia for Chemical Engineering: Efficient Hybrid Modeling and Sorption Model Discovery for Non-Linear Advection-Diffusion-Sorption Systems: A Systematic Scientific Machine Learning Approach is a new paper co-authored by Dr. Chris Rackauckas, JuliaHub VP of Modeling and Simulation. Click here for more.
JuliaHub Release Notes: JuliaHub v6.3.0 release notes are available here. New features include:
Recent JuliaHub Webinars Available Free Online: More than 65 free Webinars from JuliaHub are available for free online, including the most recent, Genomic Data Analytics with JuliaHub Using SingleCellProjections and GLMakie. Click here to access all past JuliaHub Webinars.
New Blog Posts from JuliaHub: JuliaHub has published several new blog posts, including new features in JuliaHub and JuliaSim. Click the links below to learn more.
Williams Racing Unlocks SciML Using JuliaSim: Williams Racing is a Formula 1 race team. They use JuliaSim to:
Click here to read more about how Williams Racing uses JuliaSim for Formula 1 racing.
Free Compute on JuliaHub (20 hours): In addition to the features JuliaHub has always offered for free – Julia ecosystem search, package registration tools, a dedicated package server – the platform now also gives every user 20 hours of free compute. This allows people to seamlessly share Pluto notebooks and IDE projects with others and let them get their feet wet with computing without having to open up their wallets. Click here to get started or check out Deep Datta’s introductory video, “JuliaHub Is a Free Platform to Start Your Technical Computing Journey”, where he explains how and why to start using JuliaHub for cloud computing.
Upcoming JuliaHub and Julia In-Person Events: Several in-person events featuring JuliaHub and Julia are coming to Europe and North America this year including:
Julia for Hamiltonian Neural Network (HNN): Mustafa Kaddoura has posted an 11 minute video about using Hamiltonian Neural Networks (HNN) in Julia for modeling dynamic systems. Click here to watch.
ASML Uses Makie.jl for Wafer Plots in Julia: ASML, the world’s largest supplier to the semiconductor industry, uses Makie.jl to make wafer plots in Julia. Click here for more information from ASML Architect Matthijs Cox.
Uptake Bivalent Booster Scenario on the COVID-19 Burden and Healthcare Costs in New York City is a new article in the Lancet (Regional Health - Americas) using Julia for public health modeling. Click here for more.
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? JuliaHub 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 JuliaHub and our partners to get your team up and running quickly. For more information, please contact us.
Careers at JuliaHub: JuliaHub is a fast-growing tech company with fully remote employees in 20 countries on 6 continents. Click here to learn more about exciting careers and internships with JuliaHub.
Julia and JuliaHub in the News
Julia Blog Posts
Upcoming Julia and JuliaHub Events
Recent Julia and JuliaHub Events
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About JuliaHub and Julia
JuliaHub is a fast and easy-to-use code-to-cloud platform that accelerates the development and deployment of Julia programs. JuliaHub users include some of the most innovative companies in a range of industries including pharmaceuticals, automotive, energy, manufacturing, and semiconductor design and manufacture.
Julia is a high performance open source programming language that powers computationally demanding applications in modeling and simulation, drug development, design of multi-physical systems, electronic design automation, big data analytics, scientific machine learning and artificial intelligence. 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 prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.