Skip to main content

Section outline

    • Session 1: RISC-V for AI & Machine Learning
      • Designing AI/ML accelerators in RISC-V
      • Optimizing neural networks & inference engines
      • Case studies of RISC-V applications in AI & ML
    • Session 2: Advanced Performance Profiling & Optimization (Theory + Hands-on Lab)
      • Profiling RISC-V performance using tools
      • Advanced compiler optimizations & tuning
      • Using performance counters & monitoring tools