BÄ°L674 - PARALLEL COMPUTING WITH GPUS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| PARALLEL COMPUTING WITH GPUS | BÄ°L674 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | none | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Preparing and/or Presenting Reports Project Design/Management | |||||
| Instructor (s) | Dr. Adnan Özsoy | |||||
| Course objective | Learning the fundamentals of parallel computing with the general purpose GPUs and the CUDA programming environment | |||||
| Learning outcomes |
| |||||
| Course Content | Concepts, languages, techniques, and patterns for programming heterogeneous, massively parallel processors; heterogeneous computing architectures, data-parallel programming models, techniques for memory bandwidth management, and parallel algorithm patterns | |||||
| References | TEXTBOOKS David B. Kirk and Wen-mei W. Hwu ?Programming Massively Parallel Processors: A Hands-on Approach?, Morgan Kaufman, ISBN-10: 0123814723, ISBN-13: 978-0123814722. REFERENCE MATERIAL Wen-mei W. Hwu (Editor), ?GPU Computing Gems?, Morgan Kaufman, ISBN-10: 0123849888, ISBN-13: 978-0123849885. H. Bidgoli, ?CUDA by Example: An Introduction to General-Purpose GPU Programming?, Addison Wesley, ISBN-10: 0131387685, ISBN-13: 978-0131387683. NVIDIA Developer Zone, http://developer.nvidia.com/page/home.html | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Fundamentals of Parallel Programming |
| Week 2 | Introduction to GPU Computing |
| Week 3 | CUDA Programming Model |
| Week 4 | CUDA Memory Model |
| Week 5 | GPU Hardware and Parallel Communication |
| Week 6 | Parallel Programming Concepts |
| Week 7 | Parallel Computing Patterns |
| Week 8 | Fundamental Parallel Algorithms |
| Week 9 | CUDA Performance Considerations |
| Week 10 | Advanced CUDA API Features |
| Week 11 | Sample Applications |
| Week 12 | Sample Applications |
| Week 13 | Project/Paper presentations |
| Week 14 | Overview |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 14 | 10 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 1 | 10 |
| Project | 4 | 40 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 60 |
| Percentage of final exam contributing grade succes | 0 | 40 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 8 | 5 | 40 |
| Presentation / Seminar Preparation | 1 | 20 | 20 |
| Project | 4 | 20 | 80 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 40 | 40 |
| Total Workload | 28 | 88 | 222 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Graduates should have a mastery of computer science as described by the core of the Body of Knowledge. | X | ||||
| 2. Graduates need understanding of a number of recurring themes, such as abstraction, complexity, and evolutionary change, and a set of general principles, such as sharing a common resource, security, and concurrency. | X | ||||
| 3. Graduates of a computer science program need to understand how theory and practice influence each other. | X | ||||
| 4. Graduates need to think at multiple levels of detail and abstraction. | X | ||||
| 5. Students will be able to think critically, creatively and identify problems in their research. | X | ||||
| 6. Graduates should have been involved in at least one substantial project. | X | ||||
| 7. Graduates should realize that the computing field advances at a rapid pace. | X | ||||
| 8. Graduates should conduct research in an ethical and responsible manner. | X | ||||
| 9. Graduates should have good command of technical terms in both Turkish and English. | X | ||||
| 10. Graduates should understand the full range of opportunities available in computing. | |||||
| 11. Graduates should understand that computing interacts with many different domains. | X | ||||
| 12. Graduates should develop the knowledge acquired at master level and apply scientific methods in order to solve scientific problems. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest