CS3811 HPC and Big Data Lab
This webpage hosts the materials required for the course. Practical component accompanying CS3015 High Performance Computing and Big Data.
Schedule
Lab experiments
| # | Experiment |
|---|---|
| 1 | Matrix–matrix multiplication — loop ordering, data locality, and cache behaviour |
| 2 | Exploring the memory hierarchy and branch prediction |
| 3 | SIMD vectorisation, compiler optimisation levels, and data layout (AoS vs. SoA) |
| 4 | OpenMP fork-join basics and synchronizing a parallel array sum (critical vs. atomic) |
| 5 | OpenMP work-sharing in practice — parallel for, scheduling policies, reduction, and single |
| 6 | OpenMP tasks in practice — cutoff-tuned Fibonacci, task-parallel quicksort, task-parallel directory scan |