Author Archives: Dr. Tim Besard

What’s New in CUDA.jl 5.4 for Julia?

By: Dr. Tim Besard

Re-posted from: https://info.juliahub.com/blog/whats-new-in-cuda.jl-5.4-for-julia

CUDA.jl 5.4 enhances memory management for GPU performance.

The CUDA.jl package is the main programming interface for working with NVIDIA CUDA GPUs using Julia. It features a user-friendly array abstraction, a compiler for writing CUDA kernels in Julia, and wrappers for various CUDA libraries.

The recent update of CUDA.jl 5.4 features many memory-management enhancements that help improve performance of memory-heavy applications and facilitate the use of heterogeneous set-ups with multiple GPUs, or those using both CPU and GPU.

CUDA.jl v5.4 should be compatible with existing codebases as it bumps only the minor version.The bulk of the release focuses on memory management features. Let’s look at highlights of this release: