Course Manual PAP
Parallel Programming
PDF Course Catalog Deutsche Version: PAP
Version: 2 | Last Change: 01.10.2019 15:54 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
| Long name | Parallel Programming |
|---|---|
| Approving CModule | PAP_MaMT, PAP_MaTIN |
| Responsible |
Prof. Dr.-Ing. Arnulph Fuhrmann
Professor Fakultät IME |
| Valid from | summer semester 2021 |
| Level | Master |
| Semester in the year | summer semester |
| Duration | Semester |
| Hours in self-study | 78 |
| ECTS | 5 |
| Professors |
Prof. Dr.-Ing. Arnulph Fuhrmann
Professor Fakultät IME |
| Requirements | The exercises require programming knowledge and the use of console-oriented programs in Linux-based operating systems. |
| Language | German, English if necessary |
| Separate final exam | Yes |
Literature
| P. Pacheco: An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
| T. Rauber, G. Rünger: Parallele Programmierung, Springer, 2012 |
| T. Rauber, G. Rünger: Multicore: Parallele Programmierung, Springer, 2007 |
| R. Oechsle: Parallele und verteilte Anwendungen in Java, Hanser, 2011 |
| B. Goetz, J. Bloch, J. Bowbeer, D. Lea, D. Holmes, T. Peierls: Java Concurrency in Practice, Addison-Wesley Longmanm 2006 |
| Jason Sanders: CUDA by Example: An Introduction to General-Purpose GPU Programming, Addison-Wesley Longman, 2010 |
| Aaftab Munshi: OpenCL Programming Guide, Addison-Wesley Longman, 2011 |
Final exam
| Details | In a final examination (written, optional oral), the students demonstrate their knowledge and competences summarily. The examination includes exemplary parts of the course. |
|---|---|
| Minimum standard | Achieving the individual minimum score per exam, typically 50% of the maximum score. |
| Exam Type | EN Klausur |
Learning goals
| Goal type | Description |
|---|---|
| Knowledge | - Basic concepts, models and technologies of parallel processing (parallelism, concurrency, SISD, SIMD, MISD, MIMD, loose- and closely coupled systems, distributed systems) - Parallel performance measures (speedup, efficiency) - Architecture of GPUs - Parallel Algorithms for GPUs |
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Lecture | 2 |
| Tutorial (voluntary) | 0 |
Special requirements
| none |
| Accompanying material | Lecture notes (slides) |
|---|---|
| Separate exam | No |
Learning goals
| Goal type | Description |
|---|---|
| Skills | - Analyze and structure tasks related to programming parallel programs, assign relevant parallel hardware architecture and transfer to parallel design - Implement parallel programs (multicore hardware with threads and GPUs) - Analyze parallel programs using suitable tools and present results in a comprehensible way - Estimate and analyze performance of parallel programs - Derive information from original English sources and standards |
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Practical training | 2 |
| Tutorial (voluntary) | 0 |
Special requirements
| none |
| Accompanying material | Exercises, server systems, GPU systems |
|---|---|
| Separate exam | Yes |
Separate exam
| Exam Type | EN Übungsaufgabe mit fachlich / methodisch eingeschränktem Fokus lösen |
|---|---|
| Details | The principles, models, methods, technologies and tools conveyed in the lecture will be deepened and practiced in the practical course on the basis of current tasks in the context of media-based and/or interactive systems. The students work independently on the exercises. |
| Minimum standard | 80% of the exercise tasks has been successfully completed. |
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