Reading

This schedule is tentative and subject to change.

1. Introduction. Single-processor computing
   • Read pp. 10–72.
   • Study makefiles. I recommend these slides and the first two chapters of Managing Projects with GNU Make.
2. Introduction to parallel computing
3. Vectorization
4. Computer arithmetic
5. MPI Basics
6. Collective communications
7. Speedup, efficiency, scalability Read also 2.2 Theoretical concepts.
8. Parallel program design. Tasks, critical path
9. Example of algorithm analysis
10. Distributed matrix multiply
11. OpenMP basics
12. OpenMP basics
13. Gauss elimination
14. Iterative refinement
15. Sparse matrices
16. Sparse Gauss elimination
17. OpenACC
18. OpenACC