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Julia Language

@julialang.org

Julia is a high-level, dynamic programming language built for technical computing. Official Bluesky account of the Julia Language Project #JuliaLang

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25.11.2024
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Latest posts by Julia Language @julialang.org

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Only 2 days left to submit your proposal for #juliacon #julialang!

Consider submitting to the Biology Minisymposium if you have cool work in bioinformatics or life sciences! pretalx.com/juliacon-202...

๐Ÿงช

26.02.2026 15:09 ๐Ÿ‘ 12 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Nice to see all these talks/posters using Oceananigans at #OSM26!

github.com/CliMA/Oceana...

Lots of interest for Oceananigans ๐ŸŒŠ merchandise as wellโ€ฆ Currently, only four super rare-collectible t-shirts were printed.. ๐Ÿซฃ๐Ÿคฃ

@julialang.org @21stcenturyweather.bsky.social

26.02.2026 18:03 ๐Ÿ‘ 9 ๐Ÿ” 2 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Thinking about submitting something for JuliaCon 2026, but you are unsure if you have enough for a talk? You can also submit a poster!

The deadline is extended until March 7th!

Submit your talks at juliacon.org/2026/cfp

#julialang

28.02.2026 14:19 ๐Ÿ‘ 7 ๐Ÿ” 5 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

Join our Minisymposium at JuliaCon 2026 in Mainz, Germany this year! Feel free to reach out with any questions if you consider attending

12.02.2026 11:54 ๐Ÿ‘ 7 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
The Julia for High-Performance Computing (HPC) minisymposium at JuliaCon is one of the main events of the year for the Julia for HPC community, bringing together HPC and Julia experts to present and discuss recent advances that make Julia a powerful language for HPC.

The Julia for High-Performance Computing (HPC) minisymposium at JuliaCon is one of the main events of the year for the Julia for HPC community, bringing together HPC and Julia experts to present and discuss recent advances that make Julia a powerful language for HPC.

@gaussmug.bsky.social , Samuel Omlin and @rayegun.com are hosting a minisymposium on High-Performance Computing at JuliaCon 2026!

Submit your talks until Februrary 28th at juliacon.org/2026/cfp

#julialang #hpc

18.02.2026 14:36 ๐Ÿ‘ 9 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Open-Source Award for DifferentiationInterface.jl DifferentiationInterface.jl, co-developed by BIFOLD researcher Adrian Hill, wins one of Franceโ€™s Open Science Awards for making cutting-edge modeling and optimization more flexible, efficient, and ope...

๐Ÿ†Award-winning: France's Prix Science Ouverte 2025

Switching AD backends in Julia used to mean rewriting your whole codebase. @gdalle.bsky.social @adrianhill.de got fed up โ€” and built #DI instead.

News: t1p.de/58a65

@julialang.org @ecoledesponts.bsky.social #julialang @tuberlin.bsky.social

17.02.2026 16:15 ๐Ÿ‘ 14 ๐Ÿ” 3 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0
This is a showcase of Julia across several industry verticals from engineering, life sciences and beyond. Speakers will outline case studies at their respective organizations and comment on the advantages and disadvantages of using Julia in their roles, or across teams or business units.

The Julia community stands to benefit from increased adoption across the industry. This series of talks outline the strengths and weaknesses of Julia in the context of different industries, in addition to case studies and comments on using Julia in a production environment. Additionally, the group may touch upon using Julia in domains with regulatory constraints.

This is a showcase of Julia across several industry verticals from engineering, life sciences and beyond. Speakers will outline case studies at their respective organizations and comment on the advantages and disadvantages of using Julia in their roles, or across teams or business units. The Julia community stands to benefit from increased adoption across the industry. This series of talks outline the strengths and weaknesses of Julia in the context of different industries, in addition to case studies and comments on using Julia in a production environment. Additionally, the group may touch upon using Julia in domains with regulatory constraints.

Ranjan Anantharaman and Avik Sengupta will host a minisymposium on "Julia in Industry" at JuliaCon 2026!

Find out more at pretalx.com/juliacon-202... and submit your talks until February 28th at juliacon.org/2026/cfp/

#julialang

11.02.2026 10:41 ๐Ÿ‘ 4 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Julia is an increasingly established language for Earth and climate science due to interactivity, productivity, performance and a growing software stack for high-performance computing, big data analysis and visualisation. It empowers developers to build performant Earth-System model components in a composable way, thus allowing users to easily become developers themselves and fostering collaborative work. In this minisymposium speakers will present software projects used for and in Earth system science.

Julia is an increasingly established language for Earth and climate science due to interactivity, productivity, performance and a growing software stack for high-performance computing, big data analysis and visualisation. It empowers developers to build performant Earth-System model components in a composable way, thus allowing users to easily become developers themselves and fostering collaborative work. In this minisymposium speakers will present software projects used for and in Earth system science.

@milank.bsky.social, Brian Groenke, Lazaro Alonso, and Jan Swierczek-Jereczek are hosting a minisymposium on "Earth system science in Julia" at JuliaCon 2026! Learn more at pretalx.com/juliacon-202... and submit your proposal until February 28th at juliacon.org/2026/cfp

#julialang

09.02.2026 15:15 ๐Ÿ‘ 8 ๐Ÿ” 2 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
Computing has a rich history in biological discovery, and the needs of biologists are continuing to drive algorithm development in multiple domains. Close alignment between developers and deep biological domain expertise is crucial in this field and a programming language such as Julia provides an ideal platform for such tight collaborations that require a range of access points to the software. Julia provides interactive and notebook-based interfaces commonly used by experimentalists whilst also giving algorithm developers the opportunity create more complex workflows and structures, and optimize performance as needed.

In this minisymposium, we aim to highlight ways in which computational biologists* are using Julia to advance our understanding of living systems, in academia and industry, while also contributing to the package ecosystem and core language on multiple fronts.

"Computational biology" is a broad tent. Topics presented include algorithms for text matching and search (bioinformatics), modeling and machine learning (systems biology and quantiative pharmacology),statistics and data science (experimental analysis, epidemiology), and imaging and geospatial statistics (microscopy), among others.

Computing has a rich history in biological discovery, and the needs of biologists are continuing to drive algorithm development in multiple domains. Close alignment between developers and deep biological domain expertise is crucial in this field and a programming language such as Julia provides an ideal platform for such tight collaborations that require a range of access points to the software. Julia provides interactive and notebook-based interfaces commonly used by experimentalists whilst also giving algorithm developers the opportunity create more complex workflows and structures, and optimize performance as needed. In this minisymposium, we aim to highlight ways in which computational biologists* are using Julia to advance our understanding of living systems, in academia and industry, while also contributing to the package ecosystem and core language on multiple fronts. "Computational biology" is a broad tent. Topics presented include algorithms for text matching and search (bioinformatics), modeling and machine learning (systems biology and quantiative pharmacology),statistics and data science (experimental analysis, epidemiology), and imaging and geospatial statistics (microscopy), among others.

@kevinbonham.com, Rasmus Henningsson, Elisabeth Rรถsch, and Jakob Nybo Andersen are running a minisymposium on "Julia for Biology" at JuliaCon 2026!

Find out more at pretalx.com/juliacon-202... and submit your talk to juliacon.org/2026/cfp

#julialang #biology

06.02.2026 09:47 ๐Ÿ‘ 11 ๐Ÿ” 7 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
In the last few years, the state of geospatial tooling in Julia has significantly improved. We now have first-in-class libraries with native algorithms that are the fastest that exist in the world. Today, Julia has capabilities to some degree or another over the full geospatial stack: file I/O, raster and vector data processing, visualization, and analytics.

This minisymposium is meant for discussion of software projects in earth observation, geostatistics, geometry, or anything else geospatial/GIS related - with emphasis on how they can empower users to do interesting things!

In the last few years, the state of geospatial tooling in Julia has significantly improved. We now have first-in-class libraries with native algorithms that are the fastest that exist in the world. Today, Julia has capabilities to some degree or another over the full geospatial stack: file I/O, raster and vector data processing, visualization, and analytics. This minisymposium is meant for discussion of software projects in earth observation, geostatistics, geometry, or anything else geospatial/GIS related - with emphasis on how they can empower users to do interesting things!

Anshul Singhvi, Maarten Pronk, and Felix Cremer will host a minisymposium on "Geospatial and GIS" at JuliaCon Global 2026!

Find out more at pretalx.com/juliacon-202... and submit your talks to juliacon.org/2026/cfp

#julialang #gis #geospatial

05.02.2026 12:15 ๐Ÿ‘ 4 ๐Ÿ” 2 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Engineering is the cornerstone of our society, driving technological innovation and addressing complex engineering challenges across disciplines. The rapid advancement of computational tools has become essential for pushing the boundaries of engineering research and practice. Among them, Julia is emerging as a preferred solution, owing to its user-friendly syntax, high-performance capabilities, and ever-growing package ecosystem. Julia is transforming the way engineers approach modeling and analysis across diverse engineering disciplines.

The Engineering with Julia minisymposium aims to bring together researchers, industry professionals, and educators to showcase Julia's contributions to engineering. We will explore its transformative potential for enhancing infrastructure, advancing reliability, and promoting sustainability in the context of modern engineering solutions. Additionally, we also aim to provide a platform for open discussion on the computational tools that engineers rely on in todayโ€™s research, practice, and education.

Engineering is the cornerstone of our society, driving technological innovation and addressing complex engineering challenges across disciplines. The rapid advancement of computational tools has become essential for pushing the boundaries of engineering research and practice. Among them, Julia is emerging as a preferred solution, owing to its user-friendly syntax, high-performance capabilities, and ever-growing package ecosystem. Julia is transforming the way engineers approach modeling and analysis across diverse engineering disciplines. The Engineering with Julia minisymposium aims to bring together researchers, industry professionals, and educators to showcase Julia's contributions to engineering. We will explore its transformative potential for enhancing infrastructure, advancing reliability, and promoting sustainability in the context of modern engineering solutions. Additionally, we also aim to provide a platform for open discussion on the computational tools that engineers rely on in todayโ€™s research, practice, and education.

JuliaCon 2026 will host a minisymposium on "Engineering with Julia" by Cris Moen, Damir Akchurin, and Cole Miller. Find out more at pretalx.com/juliacon-202... and submit your proposal at juliacon/2026/cfp

#julialang #engineering

04.02.2026 13:17 ๐Ÿ‘ 10 ๐Ÿ” 4 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0
Partial differential equations describe the evolution of physical systems in space and time. Realistic models involve the nonlinear coupling of different physical fields, and require their self-consistent solution. Numerical simulation methods involve various space and time discretization approaches which almost certainly lead to sparse nonlinear and linear systems to be solved.

Julia enables efficient composition of partial differential equations (PDEs) solvers through its multiple dispatch, while also offering access to parallel computing and hardware accelerators such as GPUs. The mini-symposium shall discuss various tools and approaches available in Julia which are relevant for PDEs like sparsity handling, automatic differentiation, mesh generation, linear and nonlinear system solvers, parallelization, pre- and post-processing, and visualization. It shall highlight applications from various fields of science and engineering. At the same time, issues like interoperability between different package ecosystems and missing functionality shall be discussed. An open panel will specifically discuss infrastructure needs, identify gaps, and coordinate development efforts to advance the ecosystem.

Partial differential equations describe the evolution of physical systems in space and time. Realistic models involve the nonlinear coupling of different physical fields, and require their self-consistent solution. Numerical simulation methods involve various space and time discretization approaches which almost certainly lead to sparse nonlinear and linear systems to be solved. Julia enables efficient composition of partial differential equations (PDEs) solvers through its multiple dispatch, while also offering access to parallel computing and hardware accelerators such as GPUs. The mini-symposium shall discuss various tools and approaches available in Julia which are relevant for PDEs like sparsity handling, automatic differentiation, mesh generation, linear and nonlinear system solvers, parallelization, pre- and post-processing, and visualization. It shall highlight applications from various fields of science and engineering. At the same time, issues like interoperability between different package ecosystems and missing functionality shall be discussed. An open panel will specifically discuss infrastructure needs, identify gaps, and coordinate development efforts to advance the ecosystem.

@juliacon.org will host a minisymposium on "Julia for Partial Differential Equations and its Applications" hosted by Marco Artiano, Arpit Babbar, Dennis Ogiermann and Jรผrgen Fuhrmann. Find out more at pretalx.com/juliacon-202... and submit your proposal through juliacon.org/2026/cfp

#julialang #pde

03.02.2026 09:21 ๐Ÿ‘ 9 ๐Ÿ” 3 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
The adoption of differentiable modeling and simulation has gained significant traction in computational science and engineering (CSE) workflows, driving advancements in optimization, sensitivity analysis, uncertainty quantification, model discovery, and more. This minisymposium brings together scientists, researchers, practitioners, students, and software developers who are either utilizing or developing differentiable computational models. We also welcome those seeking inspiration to integrate these methodologies into their own work. Our goal is to provide a platform for knowledge exchange and learning from each other's experiencesโ€”highlighting both success stories and challenges encountered along the way.

We invite contributions that share experiences in developing differentiable computational modelsโ€”including specific challenges faced, innovative solutions foundโ€”and applications of these models across various domains. Attendees can look forward to learning from notable contributors within the Julia community who will present innovative use cases while fostering collaboration among participants. Through networking opportunities and shared insights, we aim to inspire both seasoned users and newcomers by demonstrating how differentiable modelling can enhance model-based CSE workflows!

The adoption of differentiable modeling and simulation has gained significant traction in computational science and engineering (CSE) workflows, driving advancements in optimization, sensitivity analysis, uncertainty quantification, model discovery, and more. This minisymposium brings together scientists, researchers, practitioners, students, and software developers who are either utilizing or developing differentiable computational models. We also welcome those seeking inspiration to integrate these methodologies into their own work. Our goal is to provide a platform for knowledge exchange and learning from each other's experiencesโ€”highlighting both success stories and challenges encountered along the way. We invite contributions that share experiences in developing differentiable computational modelsโ€”including specific challenges faced, innovative solutions foundโ€”and applications of these models across various domains. Attendees can look forward to learning from notable contributors within the Julia community who will present innovative use cases while fostering collaboration among participants. Through networking opportunities and shared insights, we aim to inspire both seasoned users and newcomers by demonstrating how differentiable modelling can enhance model-based CSE workflows!

Alan Correa and Sarah Williamsom will host a minisymposium on "Differentiable Computational Models and their Applications" at JuliaCon 2026. Find out more at pretalx.com/juliacon-202... and submit your talk at juliacon.org/2026/cfp

#julialang #automaticdifferentiation

02.02.2026 10:06 ๐Ÿ‘ 7 ๐Ÿ” 2 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
Approximate computing techniques within numerical linear algebra algorithms are raising major interests in the context of exascale-era supercomputers and problems. By approximating all or certain strategic parts of the computation, approximate computing methods can substantially reduce the time, memory, and energy consumption of scientific computing algorithms. In this context, Julia has offered a fantastic playground for the development of approximate computing techniques, such as mixed precision algorithms, randomization and sketching, or low-rank approximations.

This minisymposium features talks from researchers and practitioners describing their use of Julia for studying the numerical behavior or leveraging the computational benefits of approximate computing techniques.

Approximate computing techniques within numerical linear algebra algorithms are raising major interests in the context of exascale-era supercomputers and problems. By approximating all or certain strategic parts of the computation, approximate computing methods can substantially reduce the time, memory, and energy consumption of scientific computing algorithms. In this context, Julia has offered a fantastic playground for the development of approximate computing techniques, such as mixed precision algorithms, randomization and sketching, or low-rank approximations. This minisymposium features talks from researchers and practitioners describing their use of Julia for studying the numerical behavior or leveraging the computational benefits of approximate computing techniques.

JuliaCon Global 2026 will host a minisymposium on "Approximate Computing in Numerical Linear Algebra" by Jonas Schulze, Nicolas Venkovic, Andreas Varga and Mantas Mikaitis find out more on pretalx.com/juliacon-202... and submit your talks at juliacon.org/2026/cfp

#julialang #numerics

30.01.2026 19:42 ๐Ÿ‘ 6 ๐Ÿ” 2 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Python Developers Survey 2026 The official Python Developers Survey 2026. Join and contribute to the community knowledge!

Help us map out an accurate landscape of the Python community: respond to the official Python Developers Survey for 2026 to add your voice ๐Ÿคฉ #python #pythondevsurvey

29.01.2026 14:44 ๐Ÿ‘ 11 ๐Ÿ” 3 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
The computational humanities and social sciences (CHSS) increasingly rely on large, text-rich datasets โ€“ from digital corpora and learner corpora to discourse-annotated datasets and historical archives โ€“ yet researchers often struggle with the limitations of existing tools for large-scale data processing, modeling, and reproducibility. This minisymposium introduces Julia as a powerful, expressive, and high-performance solution for CHSS research. We showcase how Juliaโ€™s strengths (speed, a solid type system, first-class multiple dispatch, and seamless interoperability with Python and R) enable both rapid experimentation and production-grade analysis. Through case studies ranging from corpus statistics and collocation networks to mixed-effects modeling of experimental data and large-scale language data pipelines, we highlight existing Julia packages and other emerging ones such as TextAssociations.jl and demonstrate how Julia can substantially expand what researchers in the humanities and social sciences can achieve. The minisymposium aims to build bridges between Julia developers and CHSS scholars while fostering a new community of users working with rich textual, linguistic, and sociocultural data.

The computational humanities and social sciences (CHSS) increasingly rely on large, text-rich datasets โ€“ from digital corpora and learner corpora to discourse-annotated datasets and historical archives โ€“ yet researchers often struggle with the limitations of existing tools for large-scale data processing, modeling, and reproducibility. This minisymposium introduces Julia as a powerful, expressive, and high-performance solution for CHSS research. We showcase how Juliaโ€™s strengths (speed, a solid type system, first-class multiple dispatch, and seamless interoperability with Python and R) enable both rapid experimentation and production-grade analysis. Through case studies ranging from corpus statistics and collocation networks to mixed-effects modeling of experimental data and large-scale language data pipelines, we highlight existing Julia packages and other emerging ones such as TextAssociations.jl and demonstrate how Julia can substantially expand what researchers in the humanities and social sciences can achieve. The minisymposium aims to build bridges between Julia developers and CHSS scholars while fostering a new community of users working with rich textual, linguistic, and sociocultural data.

@juliacon.org will host a minisymposia on "Bringing Julia to the Computational Humanities and Social Sciences" by @alextantos.bsky.social, Julia Mรผller and Axel Bohmann.

Find out more at pretalx.com/juliacon-202... and submit your proposal to juliacon.org/2026/cfp

#julialang #digitalhumanities

29.01.2026 14:51 ๐Ÿ‘ 10 ๐Ÿ” 3 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Where Julia Outshines Python

This Blogpost covers some of the reasons my lab switched to #julialang

Many are left out, e.g. we simply call any python library/function we don't have in Julia, from Julia! (e.g..mne, scopy etc.). Native GPU made easy. Extending other libraries without editing them etc
slicker.me/julia/julia_...

29.01.2026 07:44 ๐Ÿ‘ 26 ๐Ÿ” 5 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
Scientific machine learning (SciML) methods are techniques which incorporate machine learning with mechanistic modeling. The purpose of this minisymposium is to share improved methods and applications of SciML to showcase the ever advancing ecosystem in Julia.

Examples of topics fit for this minisymposium include:

    New algorithms and software for physics-informed neural networks
    Tips, tricks, and techniques for improving convergence of universal differential equations
    Applications of fitting universal differential equations on real data and verification
    Methods which use neural networks with classical solvers in new ways
    Advancements in automatic differentiation for SciML applications
    Methods which use learning to accelerate numerical simulations (surrogates, metamodels, emulators, reduced order methods (ROMs))
    Advancements in compiler and optimization techniques to improve learning in SciML scenarios.

Scientific machine learning (SciML) methods are techniques which incorporate machine learning with mechanistic modeling. The purpose of this minisymposium is to share improved methods and applications of SciML to showcase the ever advancing ecosystem in Julia. Examples of topics fit for this minisymposium include: New algorithms and software for physics-informed neural networks Tips, tricks, and techniques for improving convergence of universal differential equations Applications of fitting universal differential equations on real data and verification Methods which use neural networks with classical solvers in new ways Advancements in automatic differentiation for SciML applications Methods which use learning to accelerate numerical simulations (surrogates, metamodels, emulators, reduced order methods (ROMs)) Advancements in compiler and optimization techniques to improve learning in SciML scenarios.

@juliacon.org 2026 will have a minisymposium on "Methods and Applications of Scientific Machine Learning (SciML)" hosted by @chrisrackauckas.bsky.social find out more on pretalx.com/juliacon-202... and submit your proposal through juliacon.org/2026/cfp/

#julialang #sciml

28.01.2026 09:49 ๐Ÿ‘ 8 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
The Computational Physics Minisymposium highlights numerical methods, algorithms, and software implementationsโ€”including testing and benchmarkingโ€”for modeling and simulation across a broad range of theoretical and computational physics subfields. It serves as a โ€œtrading portโ€ for computational methods that connect diverse areas of physics.

 This yearโ€™s minisymposium will feature a special session spotlighting the JuliaQCD and JuliaFewBody ecosystems.

The Computational Physics Minisymposium highlights numerical methods, algorithms, and software implementationsโ€”including testing and benchmarkingโ€”for modeling and simulation across a broad range of theoretical and computational physics subfields. It serves as a โ€œtrading portโ€ for computational methods that connect diverse areas of physics. This yearโ€™s minisymposium will feature a special session spotlighting the JuliaQCD and JuliaFewBody ecosystems.

@juliacon.org 2026 will have a minisymposium on "Computational Physics" hosted by Shuhei Ono, Martin Mikkelsen, Ray Yang, Yuki Nagai, and Akio Tomiya find out more on pretalx.com/juliacon-202... and submit your talks through the Call for Proposals juliacon.org/2026/cfp/ until Feb 28th!

27.01.2026 10:34 ๐Ÿ‘ 8 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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I Drew the Julia Logo Using an MRI Machine โ€“ Bloch Hole How the physics of MRI can be used to draw with spins and why this is useful.

Blog post explaining how I drew the Julia logo using spins and an MRI scanner! ๐Ÿช„๐Ÿงฒ #JuliaLang #MRI

cncastillo.github.io/BlochHole/po...

04.11.2025 02:29 ๐Ÿ‘ 9 ๐Ÿ” 3 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 1
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If you are working with #JuliaLang in health, medicine, or biomedical research, consider submitting an abstract to the ๐Ÿฉบ Health Mini-Symposium at JuliaCon 2026 (10โ€“15 August 2026, Mainz, Germany). @thecedarprince.bsky.social

16.01.2026 18:13 ๐Ÿ‘ 8 ๐Ÿ” 6 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
The JuliaGPU community has been a strong presence at JuliaCon for many years, and continues to be a strong foundation of Julia's overall computing ecosystem. In 2026, we propose to organize a minisymposium specifically focused on the usage and programming of GPUs (and other accelerators) in Julia. There is some overlap with an HPC minisymposium, however we intend to focus our track on very GPU-specific content or low-level details that make JuliaGPU tick. Additionally, material relating to non-GPU devices (such as TPUs, APUs, IPUs, etc.) are very welcome!

The JuliaGPU community has been a strong presence at JuliaCon for many years, and continues to be a strong foundation of Julia's overall computing ecosystem. In 2026, we propose to organize a minisymposium specifically focused on the usage and programming of GPUs (and other accelerators) in Julia. There is some overlap with an HPC minisymposium, however we intend to focus our track on very GPU-specific content or low-level details that make JuliaGPU tick. Additionally, material relating to non-GPU devices (such as TPUs, APUs, IPUs, etc.) are very welcome!

#JuliaCon 2026 will have a minisymposium on "Julia, GPUs, and Accelerators" hosted by Julian Samaroo, Tim Besard, and @vchuravy.dev find out more on pretalx.com/juliacon-202... and submit your talks through the Call for Proposals juliacon.org/2026/cfp/ until Feb 28th!
#julia #gpu #cuda #opencl #rocm

25.01.2026 14:40 ๐Ÿ‘ 10 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
JuliaCon Global 2026
Call for Proposals is Open!
Submission Deadline: February 28, 2026
Johannes Gutenberg University
Mainz, Germany

JuliaCon Global 2026 Call for Proposals is Open! Submission Deadline: February 28, 2026 Johannes Gutenberg University Mainz, Germany

The #JuliaCon Global 2026 call for proposals is open! We have a host of exciting minisymposia and we look forward to your talks!

Find more information on juliacon.org/2026/cfp/ and submit your proposal until February 28th at pretalx.com/juliacon-202...

#julia @julialang.org

23.01.2026 21:37 ๐Ÿ‘ 20 ๐Ÿ” 12 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Keynote: Challenges and Opportunities of Digital Twins | JuliaCon Global 2025 | Prith Banerjee
Keynote: Challenges and Opportunities of Digital Twins | JuliaCon Global 2025 | Prith Banerjee YouTube video by The Julia Programming Language

Our first main conference talk video is now up! Check out Dr. Prith Banerjee, SVP of the Synopsys Simulation and Analysis Incubation Group talk about the future of digital twins in industrial simulation!

www.youtube.com/watch?v=vwAK...

23.09.2025 12:19 ๐Ÿ‘ 8 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
Introduction to Julia | JuliaCon Global 2025 | Bauman, Meitz, Madureira
Introduction to Julia | JuliaCon Global 2025 | Bauman, Meitz, Madureira YouTube video by The Julia Programming Language

The first of many! We have published the first individual video from JuliaCon Global 2025, the Introduction to Julia Workshop!

Check it out and look out for over 200 additional videos from Pittsburgh to be published over the coming weeks!

youtu.be/46hkaaDBgX4

#JuliaLang #JuliaCon #Programming #CS

17.09.2025 07:37 ๐Ÿ‘ 21 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 1
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JuliaCon Global 2025 | REPL Main Stage | Day 3 YouTube video by The Julia Programming Language

A fireside chat with Dr. Bob Metcalfe, co-creator of Ethernet, is started just a bit ago our REPL Main Stage!

youtube.com/live/_Uf2KQX...

25.07.2025 13:22 ๐Ÿ‘ 4 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
John Urschel's talk "80 Years of Computing with the Elimination Algorithm" at JuliaCon Global 2025!

John Urschel's talk "80 Years of Computing with the Elimination Algorithm" at JuliaCon Global 2025!

In two hours don't miss MIT Professor John Urschel's keynote "80 Years of Computing with the Elimination Algorithm" on our main stage!

youtube.com/live/Msm2qHs...

#linearalgebra #hpc #JuliaLang #Julia #linalg #math

24.07.2025 18:00 ๐Ÿ‘ 11 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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JuliaCon Global 2025 | REPL Main Stage | Day 2 YouTube video by The Julia Programming Language

JuliaCon Global 2025 Day 2 talks are live! Don't miss the annual State of Julia starting now! www.youtube.com/live/Msm2qHs...

24.07.2025 13:05 ๐Ÿ‘ 4 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Dr. Karandeep Singh, maintainer of the Tidier ecosystem and faculty at UCSD will be giving his JuliaCon Global 2025 keynote at 2PM Eastern Time today!

Check it out here: www.youtube.com/watch?v=3o0l...

#JuliaLang #AI #healthcare

23.07.2025 17:16 ๐Ÿ‘ 5 ๐Ÿ” 2 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

#JuliaLang

23.07.2025 14:53 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0