Newsletter July 2024 | JuliaHub Presentations at JuliaCon - Eindhoven July 9-13

By JuliaHub | Jul 09, 2024


JuliaHub Presentations at JuliaCon: JuliaHub presenters will be part of more than 40 presentations at JuliaCon in Eindhoven July 9-13. Click each link below to read the presentation description.



Date and Time (Eindhoven)

Kristoffer Carlsson

App Support in Pkg

July 10, 15:00

Valentin Churavy, Mosè Giordano, Elliot Saba

BinaryBuilder Birds of a Feather

July 11, 14:00

Elliot Saba

BinaryBuilder 2: Return of the Compilers

July 11, 10:30

Keno Fischer, 

Frames Catherine White

CedarEDA Tutorial: A Fresh Approach to Circuit Simulation

July 10, 11:30

Morten Piibeleht

CodeEvaluation.jl: Emulating Julia Code Evaluations

July 11, 15:10

Chris Rackauckas

Docs, CI Tests, Error Messages, and Interfaces in Julia's SciML

July 10, 15:00

Ashutosh Bharambe

HighDimPDE.jl: Solving High Dimensional PDEs Using Deep Learning

July 12, 11:00

Avik Sengupta

Horus - Robust Background Jobs in Julia

July 11, 10:10

Bradley Carman, Avinash Subramanian

How a Julia Backend Accelerates Model Based App Development

July 11, 16:05

Chris Rackauckas, Michael Tiller

Hierarchical Component-Based Modeling with ModelingToolkit.jl

July 9, 9:00

Sebastian Pfitzner

Infiltrator.jl - No-Overhead Breakpoints in Julia

July 11, 15:00

Matt Bauman

Introduction to Julia

July 9, 9:00

Keno Fischer, Shuhei Kadowaki

Julia Compiler Secrets - Static Analysis

July 11, 15:30

Tim Besard, Valentin Churavy, Katharine Hyatt

JuliaGPU BoF

July 11, 16:00

Panagiotis Georgakopoulos

JuliaHub's AskAI: Enhancing ChatGPT with Julia-Specific Context

July 10, 11:00

Gary Mansouri, Chris Rackauckas, Viral B. Shah

JuliaSim: Bringing Julia to Industrial Modeling and Simulation

July 10, 10:15

Avinash Subramanian

JuliaSim HVAC: Composing Thermo-Fluid Modeling with SciML

July 10 16:00

Michael Tiller

JuliaSim Modeling Language: Composing Complex Systems with MTK

July 10, 11:30

Andrew Claster

Julia User & Developer Survey 2024

July 10, 17:20

Nishanth H. Kottary

Kuber.jl: A Kubernetes Client for Julia

July 12, 15:30

Jameson Nash, Oscar Smith

Memory in Julia

July 10, 14:30

Gary Mansouri, Chris Rackauckas, Viral B. Shah

Model-Based Design for System Product Development

July 10, 10:50

Fredrik Bagge Carlson

Modeling and Simulation of Sampled-Data Systems

July 12, 11:30

Anas Abdelrehim,

Dhairya Gandhi

Modern CI/CD Machine Learning Workflows Using Julia

July 12, 12:00

Chris Rackauckas

Needs and Next Steps for Julia's SciML

July 11, 10:00

Gabriel Baraldi, Jeff Bezanson

New Ways to Compile Julia

July 11, 16:00

Tanmay Mohapatra

OpenAPI.jl for Easy HTTP APIs

July 10, 15:30

Rajeev Voleti

Optimal Cooperative Rendezvous Using AerialVehicles.jl

July 10, 17:20

Fredrik Ekre

Pkg En Route: the Logistics Behind the Package Manager

July 10, 16:30

Tanmay Mohapatra

Policy Enforcement in Julia Enterprise Applications with OPA

July 12, 10:10

Andrés Riedemann, Avinash Subramanian, Vinicius Viena

ProcessSimulator.jl: A Differentiable Chemical Process Simulator

July 10 16:10

Joris Kraak

Reactive Programmer Support Group

July 10, 14:30

Joris Kraak,

Anant Thazhemadam

Renovating Automated Dependency Management in Julia

July 10, 16:00

Panagiotis Georgakopoulos, Krystian Guliński

A Retrospect on Julia Web Services: HTTP, Performance and Memory 

July 10, 15:00

Sathvik Bhagavan,

Sebastian Micluța- Câmpeanu

Robust Calibration of Industrial HVAC and Battery Systems

July 12, 16:00

Fredrik Ekre

Service Monitoring with Prometheus.jl

July 10, 17:00

Kristoffer Carlsson, Lilith Hafner, Elliot Saba

State of Julia 2024

July 10, 9:00

Chris Rackauckas

State of Julia's SciML Ecosystem

July 10, 14:00

Aayush Sabharwal

SymbolicIndexingInterface.jl: Symbolic Indexing for Everyone

July 10, 11:00

Dhairya Gandhi, Julian P. Samaroo

Train a Llama(2) in Julia!

July 11, 10:30

Tim Besard

Updates and Advances in CUDA.jl and oneAPI.jl

July 12, 15:00

Bradley Carman, Venkatesh Prasad

Updates to Standard Library & The Native DSL of ModelingToolkit

July 10, 12:00

Gabriel Baraldi, Cody Tapscott

Writing Allocation-Free Julia Code with AllocCheck.jl

July 11, 11:00

George Datseris, Fredrik Ekre,

Morten Piibeleht

Writing and Maintaining an Exceptional Documentation

July 9, 13:30

JuliaCon 2024: JuliaCon 2024 takes place from July 9-13 in Eindhoven, Netherlands. Workshops will take place Tuesday July 9, presentations will be Wednesday July 10 through Friday July 12 and the hackathon will be Saturday July 13. Click here for more information and to register. All presentations will be live streamed on YouTube and edited videos will be posted on YouTube after the conference. The live stream and the edited presentations will be on the Julia YouTube channel and the links can also be found on the JuliaCon Website. If you subscribe to the Julia YouTube channel, you will be notified when the live stream begins.

Free Webinars from JuliaHub: JuliaHub provides free one-hour Webinars on a variety of topics. Registration is free but space is limited. Click the link below to register, or watch past Webinars here.

New JuliaHub Blog Posts: JuliaHub publishes blog posts on new JuliaHub features, products, events and innovative uses of Julia. Click here to read.

JuliaHub’s Dr. Chris Rackauckas Presents Scientific Machine Learning (SciML) to IEEE Conference on Artificial Intelligence (CAI): The Institute of Electrical and Electronics Engineers hosted Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) for a standing-room only presentation on scientific machine learning (SciML) at the Conference on Artificial Intelligence (CAI) in Singapore June 25-27. Click here for more information.

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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 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.

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.

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