Vendor-Neutral GPU Programming in Julia

Julia's powerful GPU backends offer exceptional performance, but often result in code that is tightly coupled to a specific vendor's hardware. Join Tim Besard in this webinar to explore vendor-neutral GPU programming in Julia, using KernelAbstractions.jl and Julia's array abstractions.
 
Key Takeaways:

• Write flexible array code that can  target different GPU architectures. 
• Leverage KernelAbstractions.jl to create high-performance kernels that work across various vendors. 
• Gain valuable insights into writing efficient and portable GPU code in Julia.

Don’t miss this opportunity to simplify your GPU programming workflow while expanding its flexibility.