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Join CUDA architect Stephen Jones for a 42-minute session from NVIDIA GTC 2025 that explores the fundamentals of parallel programming on GPUs. Learn how parallel algorithms work, understand why GPU programming differs from CPU approaches, and discover techniques to maximize CUDA performance. Explore why hardware constraints and physical limitations are changing computing fundamentals. Whether you're new to parallel programming or an experienced developer, gain valuable insights into CUDA development that will enhance your skills. The session covers introduction to parallel algorithms, the impact of physical laws on computing design, GPU-specific programming considerations, and optimization techniques for CUDA applications. This beginner-friendly technical talk is part of an ongoing series examining CUDA and GPU architecture.
