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Newsletter November 2022 - Julia Computing Is Now JuliaHub!

21 November 2022 | Julia Computing

Julia Computing Is Now JuliaHub: The JuliaHub platform is designed to accelerate the development and deployment of Julia programs by technical users in a variety of engineering and computational disciplines. JuliaHub makes it easy for Julia users to explore the open source ecosystem to create, share and manage packages, to leverage parallel computing and GPUs for large-scale computations, and to serve Julia applications through web APIs. In addition to being a general purpose platform, JuliaHub also provides a suite of vertical domain-specific products that leverage this platform, including JuliaSim, Pumas, PumasQSP and Cedar. JuliaHub is cloud-first but is also available on-prem and even air-gapped.

JuliaHub has become the heart of our business and strategy, to the extent that people in the Julia community often think the company is already named JuliaHub. It only makes sense to rename the company to reflect that focus and direction,” explains Stefan Karpinksi, Julia co-creator and JuliaHub co-founder and Chief Product Officer.

What isn’t changing?

  • Our participation in the open source Julia project

  • JuliaHub powers a game-changing, composable product suite for modeling and simulation. This includes Pumas and PumasQSP for drug development, JuliaSim for modeling and simulation of multi-physical systems, and Cedar for electronic design automation

  • JuliaHub is led by the same co-founders: Dr. Viral Shah (CEO), Deepak Vinchhi (COO), Stefan Karpinski (CPO), Dr. Jeff Bezanson (CTO), Keno Fischer (CTO – R&D) and Dr. Alan Edelman (Chief Scientist)

JuliaCon 2023 Call for Proposals: The JuliaCon 2023 Call for Proposals is open now until December 18. Do you have an exciting new Julia use case? Have you solved a difficult problem using Julia? Any topic that would be of interest to the Julia community is eligible. Formats include talks (30 minutes), lightning talks (10 minutes), minisymposia (2-3 hours), workshops (3 hours), posters, birds-of-a-feather/interest groups (one hour breakout sessions), experiences (3 minutes) and online only talks. Click here to learn more about proposal criteria and to submit your proposal.

Sign Up for a Free Webinar from JuliaHub: Click here to register for a free JuliaHub Webinar, Using Large Datasets in JuliaHub on Thursday December 1 from 1-2 pm Eastern (US). The Webinar is led by Dr. Matt Bauman (JuliaHub Director of Applications Engineering). Participants in this Webinar will learn how to upload/import large datasets into JuliaHub, how to load and process large datasets in JuliaHub and how to structure the analysis for parallel computing using JuliaHub. Space is limited, so please register now to reserve your spot.

Recent Free Webinars from JuliaHub: JuliaHub Webinars are free and online. Recent Webinars include:

JuliaHub Bangalore Meetup with Dr. Viral Shah, CEO: JuliaHub is hosting a meetup at our Bangalore office on Tuesday December 13 from 5:30-7:30 pm with Dr. Viral Shah, Julia co-creator and JuliaHub CEO and co-founder. Viral will discuss the state of Julia, JuliaHub and JuliaSim, the Julia and JuliaHub ecosystem and roadmap, and scientific machine learning (SciML). There will also be Q&A, so don't forget to prepare your burning Julia questions! The event is free but you must click here to register.

JuliaHub - Coming to a Conference Near You: JuliaHub will be present at upcoming conferences and events. Click below for more information.

Intel Workshop - Computational Secrets of Julia Revealed: JuliaHub co-founder and Chief Scientist Alan Edelman joins Intel Machine Learning Architect Rahul Unnikrishnan Nair to present a free online 2 hour workshop, Computational Secrets of Julia Revealed. The workshop takes place December 2 from 9-11 am Pacific time (US). Click here to register for this free workshop.

Julia at the American Statistical Association: Dr. Josh Day (JuliaHub) joined the American Statistical Association (ASA) Section on Statistical Computing (SSC) Mini-Symposium to present the Julia portion of the Data Jamboree. The Data Jamboree uses Julia, Python and R to solve the same problems using New York City motor vehicle crash data.

Quantum Computing with Julia: Dr. Katharine Hyatt (Center for Computational Quantum Physics, Flatiron Institute) has published Introducing Braket.jl - Quantum Computing with Julia. “Braket.jl is a new, experimental package that lets you build quantum circuits and programs in Julia and run them on Amazon Braket. It's a ground-up rewrite of the Amazon Braket Python SDK allowing Julia users and developers to work with Amazon Braket and quantum computing in their preferred language. The package is Apache-2.0 licensed, and currently supports Julia >=1.6 on x64 Windows, Linux, or OSX. Amazon Braket is a fully managed AWS service that helps researchers, scientists, and developers get started with quantum computing. Through Amazon Braket, you can develop, run, test, and benchmark quantum algorithms on state-of-the-art quantum hardware and simulators.” Click here for more information.

Julia Goes Greek: Numerical Linear Algebra and Scientific Calculations by Professor Marilena Mitroulis is a new Greek language mathematics textbook using Julia. “An innovation of the book is the presentation of selected scientific calculations in the Julia programming language. This language is particularly friendly for table calculations and is freely available (open source software). It is worth noting that in 2019, the highly prestigious James H. Wilkinson Prize for Numerical Software was awarded to researchers who contributed to its development.” More information is available here.

Free Introduction to Julia Course from DataCamp: DataCamp offers a free online Introduction to Julia course. The course is 4 hours and consists of 16 videos and 61 exercises. Click here for more.

ModelingToolkit and JuliaSim Workshop: Dr. Christopher Rackauckas (JuliaHub Director of Modeling and Simulation) has created a free workshop available online featuring ModelingToolkit.jl and JuliaSim. The workshop materials are available here.

Julia for Data Science: Professor Yoni Nazarathy (University of Queensland) will present Julia as a Data Science Research Tool on Monday Nov 21 at the Australian Data Science Network (ADSN) conference in Brisbane, Australia. Click here for more information.

Julia for Biologists Workshop: Dr. Elisabeth Roesch (JuliaHub) and Professor Yoni Nazarathy (University of Queensland) are presenting a Julia for Biologists workshop Wed Nov 23. The workshop is part of the Australian Mathematical Sciences Institute (AMSI) BioInfoSummer, hosted by Melbourne Integrated Genomics at the University of Melbourne (UoM). Click here for more information.

Julia Will Help Predict How Cells Become Humans: The Australian Research Council (ARC) is establishing a new Centre for Excellence for the Mathematical Analysis of Cellular Systems which will use Julia “to help to build mathematical models that can predict and show the biological processes of cells forming into humans.” Click here for more information.

Design World Ranks Julia Among Top 5 Greenest Programming Languages: The Computer Language Benchmarks Game (CLBG) ranks languages by energy efficiency based on how much energy is used to complete 13 benchmark problems. Julia ranked in the top 5, according to Design World, along with C, C++, Rust and Ada.

Julia for Genomics: A Simple Stochastic Model Describing the Evolution of Genomic GC Content in Asexually Reproducing Organisms is a new Scientific Reports paper by Jon Bohlin available from Nature. 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 12 countries on 5 continents. Click here to learn more about exciting careers and internships with JuliaHub.

Julia and JuliaHub in the News

  • KDNuggets: Should I Learn Julia?

  • MarkTechPost: Top C++ Based Data Science And Machine Learning Libraries

  • Quantum Computing Report: QuEra Launches Their 256 Qubit Analog Quantum Processor on AWS

  • MarkTechPost: Top Tools for Machine Learning Simplification and Standardization

  • Unite.AI: What is the Best Language for Machine Learning?

  • Design World: The Top Ten “Green” Programming Languages

  • SitePoint: Best Programming Language for AI

  • University of Athens: New Release from EKPA Publications: Numerical Linear Algebra and Scientific Calculations by Professor Marilena Mitroulis

  • Analytics Insight: Top 10 Google Colab Alternatives for Machine Learning Engineers in 2023

  • Analytics Insight: Top 10 AIOps Programming Languages for Developers to Learn in 2023

  • MarkTechPost: Top Google Colab Alternatives for Machine Learning and Data Science Projects

Julia Blog Posts

Upcoming Julia and JuliaHub Events

Recent Julia and JuliaHub Events

Contact Us: Please contact us if you want to:

  • Learn more about JuliaHub, JuliaSim, Pumas, PumasQSP or CedarEDA

  • 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 JuliaHub to organize a Julia event online

  • Submit a Julia internship, fellowship or job posting

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.

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