Fast matrix multiplication on GPUs has traditionally meant wrestling with threads, shared memory, and low-level hardware details. This webinar explores how NVIDIA’s CUDA Tile model—and its Julia port, cuTile.jl—makes high-performance GPU programming more accessible. Join Dr. Andy Terrel of NVIDIA and Dr. Tim Besard of JuliaHub to see real examples across linear algebra, AI inference, and HPC. Register here - https://t.co/SXn4kAmfTL#JuliaLang #GPUProgramming #CUDA #HPC #AIInfrastructure
1:36
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