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Newsletter December 2024 | JuliaHub at AIAA SciTech in Orlando January 7-9

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JuliaHub at AIAA SciTech January 7-9: Join American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum in Orlando, Booth 514, from January 7-9 to discover how JuliaSim is transforming R&D in aerospace, defense, and engineering. Built for high-performance modeling, JuliaSim integrates AI/ML and digital twin technology to deliver real-time, scalable simulations for complex physical systems.

  • Live JuliaSim Demos: Experience rapid, accurate simulations that optimize design, testing, and predictive maintenance.
  • Secure Solutions for High-Security Projects: Learn about JuliaHub’s air-gapped environment for on-premises, compliant deployments.

Discover how you can accelerate innovation with the power of Julia and JuliaSim for your R&D projects. To schedule a consultation with our team at AIAA SciTech, please contact us at sales@juliahub.com.

Julia Award Winners at SC24: The Julia community was well-represented among award winners at SC24 in Atlanta November 16-22.

    • Dr. William Moses Receives Outstanding Doctoral Dissertation Award: Dr. William Moses, longtime collaborator with the MIT Julia Lab and developer of the Enzyme automatic differentiation engine used heavily throughout the Julia ecosystem, received the Outstanding Doctoral Dissertation Award for best doctoral dissertation in high performance computing for his work on Enzyme. The dissertation is titled Supercharging Programming through Compiler Technology.  The award was presented by the Association for Computing Machinery (ACM) Special Interest Group on High Performance Computing (SIGHPC). More information is available here.
  • Best Paper - Integrating ORNL’s HPC and Neutron Facilities with a Performance-Portable CPU/GPU Ecosystem:  The Extreme-Scale Experiment-in-the-Loop Computing (XLOOP) Program Committee selected Integrating ORNL’s HPC and Neutron Facilities with a Performance-Portable CPU/GPU Ecosystem for the Best Paper Award. More information is available here.

SC24 also featured a Julia tutorial on the Julia Language for Productive High Performance Computing and a Birds of a Feather session on Julia for HPC.

JuliaEO - Earth Observation Using Julia January 6-10 (Terceira, Azores): The JuliaEO Global Workshop 2025 features surrogates of climate models developed in conjunction with the Julia community, along with connections of data science and mapping groups for satellite data. “The JuliaEO Global Workshop 2025, co-organized by the AIR Centre and the United Nations Conference on Trade and Development (UNCTAD), will take place from January 6-10 in a hybrid format, hosted both in Terceira Island (Azores) and online. This workshop is designed to enhance the computer programming skills of professionals working in Earth Observation. To stimulate collaboration beyond the training, the complete workshop will be held in person. However, due to the high level of interest, remote participation will also be possible. Remote attendees will be able to watch the sessions live, and active participation will be possible but limited to text chat. The topics covered include acquisition, processing, visualization, and classification of Earth Observation data, using the Julia programming language. The training workshop will emphasize practical activities including the use of datasets, libraries/packages, automated workflows, Artificial Intelligence (AI), and classification algorithms. Theory-oriented sessions will introduce the concepts and hands-on activities.” Click here to access the full program.

Solving Inverse Problems and Scientific Machine Learning (SciML) at Geilo Winter School (Norway): Geilo Winter School takes place in Geilo, Norway January 19-24. Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) leads a workshop on Solving Inverse Problems with Julia’s SciML. Click here for more information.

JuliaHub Participates in Defense Advanced Research Projects Agency (DARPA)’s Automating Scientific Knowledge Extraction and Modeling (ASKEM) Program: Innosphere Ventures hosted Defense Advanced Research Projects Agency (DARPA)’s Automating Scientific Knowledge Extraction and Modeling (ASKEM) program last week. “With a major initial use case in climate modeling, ASKEM has the potential to revolutionize scientific modeling. ‘The way we have previously built models and connected them to data was very bespoke,’ explained Chris Rackauckas from MIT/JuliaHub, ‘Now that models are everywhere, we have to get more efficient at connecting them with data. Once we can do this, experts in all fields will be able to access the power of high-fidelity modeling.’”

JuliaCon 2025 Call for Minisymposia Proposals: JuliaCon 2025 will be in Pittsburgh July 21-26, and the Call for Minisymposia Proposals is open now. Click here for more information and click here to submit a minisymposium proposal.

Recent JuliaHub Webinars: JuliaHub provides free one-hour Webinars on topics of interest to Julia users. Nearly 100 past Webinars are available online. Click here to watch.

What’s Driving the Next Big Leap in Battery Innovation?: What’s Driving the Next Big Leap in Battery Innovation? is a new blog post from JuliaHub’s Jasmine Chokshi based on Sebastian Micluța-Câmpeanu’s 2024 JuliaCon presentation. Click here for more.

New Julia Podcast: Julia Dispatch is a new Julia podcast from Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) and Dr. Michael Tiemann. Click here to watch. Recent episodes include:

Julia Release Announcements: Julia 1.10.7 and 1.11.2 are now available. Click here for the latest release announcements.

Postdoc Researcher Position in Oxford, UK: The Topos Institute seeks qualified applicants for a Postdoc Researcher position in Models as Structured Data, based in Oxford, UK. Click here for more information and click here to apply.

JuliaCon 2024 Videos on YouTube: At least 249 (out of 330+) JuliaCon 2024 presentations have already been uploaded to YouTube, and more are being uploaded every week. Click here to watch.

JuMP-dev 2024 Videos on YouTube: JuMP-dev 2024 videos are also available on YouTube. Click here to watch. More information about JuMP-dev 2024 is available here.

JuliaHub Consulting Services: Would your organization benefit from a 100x increase in simulation speeds? JuliaSim might be the solution you need. Click here for more information about JuliaSim, and to contact us to learn how JuliaSim can help your business succeed. 

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 lets 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 blog post, “JuliaHub Is a Free Platform to Start Your Technical Computing Journey”, which explains how and why to start using JuliaHub for cloud computing.

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.

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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.

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