Join Oak Ridge National Laboratory scientists William F Godoy and Philip W Fackler for a live webinar exploring how JACC.jl enables vendor-neutral parallel computing in Julia across CPUs and GPUs.
High-performance computing development often requires engineers and researchers to manage multiple programming models and vendor-specific GPU frameworks. JACC.jl simplifies this process by enabling portable Julia code that runs across CPUs and GPUs from different vendors, all from a single source code base.
In this webinar, Oak Ridge National Laboratory experts will introduce JACC.jl and demonstrate how Julia users can build vendor-neutral parallel applications while maintaining performance and developer productivity.
Through live examples running directly on laptops, attendees will see how JACC.jl helps accelerate HPC adoption using modern Julia tooling.
Presenters:
William F Godoy, Senior Computer Scientist
Philip W Fackler, Research Software Engineer
Topic: JACC.jl: Julia for ACCelerators
What You’ll Learn
How JACC.jl enables vendor-neutral CPU/GPU computing in Julia
Writing portable parallel Julia code from a single codebase
Deploying Julia applications across multiple accelerator vendors
Best practices for HPC development using Julia
Real-world use cases and live demonstrations with JACC.jl
About JACC.jl
JACC.jl (Julia for ACCelerators) is a registered Julia package designed to simplify portable CPU/GPU parallel programming. It enables developers to deploy a single source code across CPUs and GPUs from different hardware vendors with minimal effort.
Reserve Your Spot
Register now to discover how Julia and JACC.jl are enabling the next generation of portable high-performance computing workflows.
