| Language of Instruction |
Türkçe |
| Course Type |
Area Elective Courses |
| Course Instructor(s) |
DR. ÖĞR. ÜYESİ MESUT AYDEMİR |
| Mode of Delivery |
Face to Face |
| Prerequisites |
There are no prerequisites. |
| Courses Recomended |
It is not available. |
| Recommended Reading List |
It will be announced later. |
| Assessment methods and criteria |
1 Mini Exam, 2 Assignment, 1 Midterm Exam, 1 Mid-Year Exam, 1 Final Exam |
| Work Placement |
It is not available. |
| Catalog Content |
This course teaches the correct use of parallel programming terminology and the fundamentals of GPU architecture and CUDA. Students apply thread hierarchy, the CUDA memory model (global/shared/constant/cache), streams–data transfer, and performance-oriented patterns (reduction, histogram, atomic operations, floating point); they achieve acceleration through profiling/optimization. It also briefly covers CUDA–MPI co-operation and portability with OpenCL/OpenACC. |
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