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Learn vendor-neutral GPU programming techniques in Julia during this 53-minute webinar led by Tim Besard, focusing on using KernelAbstractions.jl and Julia's array abstractions to write flexible, high-performance code that works across different GPU architectures. Master the creation of efficient kernels that can target multiple vendor hardware platforms while maintaining code portability and performance. Discover practical strategies for implementing array abstractions that seamlessly operate across various GPU backends, enabling a simplified yet powerful programming workflow that breaks free from vendor-specific constraints.
