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Introduction to Scientific and High Performance Computing

Introduction to scientific computing and programming tools

1. Introduction
3. Errors in Floating Point Numbers
4. Makefiles as automation tools
5. Standard library of functions: math functions, containers and random numbers
6. Using software in a hpc environment
7. Debugging
8. Unit Testing : Making sure your bugs don’t come back

High Performance Computing and Parallel Programming

9. Optimization
10. Profiling
11. Numerical libraries in Matrix Problems
12. Performance measurement for some matrix ops
13. Introduction to High Performance Computing
14. Introduction to OpenMp (Shared memory)
15. HPC resource manager: Slurm
16. Introduction to MPI (distributed memory)
17. Ref
18. Some extra tools for development

Repository
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Index

By William Oquendo

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