CS3210 Parallel computing

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GPU and distributed computing

GPU and distributed computing

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  • Tutorial 5: GPU programming with CUDA

    • Tutorial 5 Extra: Optimizations for GPU-based applications (self-study)

      • Tutorial 6: Cache coherence and memory consistency

        • Tutorial 7: Practice questions and midterm review

          • Tutorial 9: Introduction to distributed-memory programming using MPI

            • Tutorial 10: Distributed programming with MPI: collective communication

              • Tutorial 11: Interconnection and performance of heterogeneous systems

                • Tutorial 11 supplement: Weather prediction with MPI and OpenMP


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                  CS3210 · AY2026/27 Semester 2

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