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HPCourse

Exercises for the course 'Introduction to High Performance Computing'

Exercises:

  • Hardware:

    • Cycles
    • Load Store
    • Memory Latency

  • Operating System and tools:

    • IO
    • Floating point precision
    • Elastic Finite Difference, with some mistakes as exercise

  • Single core Optimization:

    • Effect of loop order on performance
    • Example of loop vectorization
    • Classic Matrix Multiplication
    • Classic Matrix Multiplication Loop Unrolling
    • Classic Matrix Multiplication cache blocking
    • 1D Convolution
    • 2D Convolution
    • Correlation
    • Three cache blocking exercises

  • Parallelization:

    • Compute min/max/sum parallel with OpenMP and try placement
    • OpenMP loop and cache trashing
    • OpenMP loop scheduling and load balancing
    • Compute PI parallel with OpenMP and MPI
    • Examples of MPI master-slave implementations
    • OpenMP exercises
    • MPI exercise to set up MPI-tasks for 2D domain decomposition

Note: for detailed information about the CPU in your system look at /proc/cpuinfo on your linux system or type: 'dmesg | grep CPU'. On windows there is a utility cpu-z which you can download and use to get information about your CPU.

In each directory you can find a file called README with detailed instructions how to compile and run the exercise.