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Curricular information is subject to change
- Understand parallel programming paradigm and orient yourself in parallel computing technologies
- Write and experiment with parallel programs using MPI, OpenMP and Pthreads, and MPI+OpenMP
- Use parallel libraries
-Vector and superscalar processors: architecture and programming model, optimizing compilers (dependency analysis and code generation), array libraries (BLAS), parallel languages (Fortran 90).
- Shared-memory multi-processors and multicore CPUs: architecture and programming models, optimizing compilers, thread libraries (Pthreads), parallel languages (OpenMP).
- Distributed-memory multi-processors: architecture and programming model, performance models, message-passing libraries (MPI), parallel languages (HPF).
- Hybrid parallel programming for clusters of mutlicore CPUs with MPI+OpenMP.
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 12 |
Practical | 12 |
Autonomous Student Learning | 72 |
Total | 120 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Practical Examination: Lab assignments | Varies over the Trimester | n/a | Standard conversion grade scale 40% | No | 35 |
Class Test: Final examination | 2 hour End of Trimester Exam | n/a | Standard conversion grade scale 40% | No | 65 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Online automated feedback
Assignments' marks are released to the students with comments. Questions (if any) regarding the marks can be directed to TA individually.