Programming and Parallel Scientific Computing
Syllabus
The course provides an introduction to C++ programming and algorithms with a focus on scientific computing. An overview of the C++ language is provided: specification, arithmetics, memory, performance, object-oriented design for component-based software, and advanced topics in numerics using templates. Distributed and shared-memory parallel computing are then approached with exercises related to numerical methods for PDEs.
Schedule
Location: I/E102 + Zoom Visioconference.
Time: AM: 09:00-12:00, PM: 13:30-16:30
Week 46 | ||
13. November | I/E102 | AM: Introduction to shell and git (Jonathan Viquerat) |
I/E102 | PM: Introduction to supercomputing, finite-precision arithmetics and data models | |
16. November | I/E102 | AM: Procedural language programming: application to linear algebra |
Week 47 | ||
22. November | I/E102 | AM: Models for parallel computing and performance metrics |
PM: Distributed Memory Programming Models | ||
23. November | I/E102 | AM: Applications of distributed scientific computing (Jonathan Viquerat) |
I/E102 | PM: Distributed Memory Programming Models | |
Week 48 | ||
27. November |
I/E102 | AM: Shared Memory Programming Models |
28. November | I/E102 | AM: Object-Oriented abstraction for numerical frameworks in C++: example of mesh topologies |
I/E102 | PM: Iterative solvers and applications |
Project deadlines: TBA.