| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Parallel Computıng | BSM 444 | 8 | 3 + 0 | 3 | 5 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Dr.Öğr.Üyesi HÜSEYİN ESKİ |
| Dersi Verenler | |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | This course aims to teach contemporary technology and computing methods of parallel processing. The course covers parallel algorithm design and analysis. It also includes alternative parallel computation methods with their advantages and drawbacks. |
| Dersin İçeriği | Parallel computation methods, algorithms and parallel architectures. Showing parallel programming languages on some example applications developed for different parallel architectures. Paralel performance measurement and analysis. |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Explains parallel computer systems´ structures and their working principals | Lecture, | Testing, |
| 2 | Calculates parallel computer performance quantitatively | Lecture, | Testing, |
| 3 | Knows inter-networking used in parallel computing | Lecture, Question-Answer, Drilland Practice, | Testing, Homework, |
| 4 | Knows parallel programming methods | Lecture, Question-Answer, Drilland Practice, | Testing, Homework, |
| 5 | Knows GPU programming | Lecture, Drilland Practice, | Testing, Homework, |
| 6 | Knows workload balancing issues at parallel systems | Lecture, Drilland Practice, | Testing, Homework, |
| 7 | Uses parallel performance monitoring tools | Lecture, Drilland Practice, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Parallel algorithm design | |
| 2 | Decomposition techniques, distribution of computational structures and planning (mapping & scheduling) | |
| 3 | Programming on shared memory systems: OpenMP, Cilk/Cilk++, Pthreads | |
| 4 | Application development using OpenMP | |
| 5 | Application development using Cilk/Cilk++ | |
| 6 | Application development using with Pthreads | |
| 7 | Parallel computer architectures: Shared memory systems and cache coherency, distributed parallel systems, interconnection networks and routing | |
| 8 | Programming with scalable systems, message passing systems: MPI and PVM | |
| 9 | Application development using with MPI | |
| 10 | Application development using with MPI | |
| 11 | GPU programming with CUDA | |
| 12 | Application development using with CUDA | |
| 13 | Parallel performance measurement and analysis | |
| 14 | Examples of parallel performance measurement and analysis |
| Kaynaklar | |
|---|---|
| Ders Notu | 1. Introduction to Parallel Computing, A. Grama, A. Gupta, G.Karypis, V. Kumar, Addison Wesley. |
| Ders Kaynakları | 1. Parallel Computing, Theory and practice, M.J.Quinn, McGraw Hill. 2. Parallel programming wiyh MPI, P.S. Pacheco.Morgan Kaufmann. 3. GPU Gems 1&2, Nvidia. |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, | X | |||||
| 2 | An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations | X | |||||
| 3 | An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, | X | |||||
| 4 | An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, | X | |||||
| 5 | An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, | X | |||||
| 6 | Understanding, awareness of administration, control, development and security/reliability issues about information technologies, | X | |||||
| 7 | An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, | X | |||||
| 8 | An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, | X | |||||
| 9 | An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, | X | |||||
| 10 | Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, | X | |||||
| 11 | An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, | X | |||||
| 12 | An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. | X | |||||
| 13 | |||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 70 |
| 1. Kısa Sınav | 10 |
| 1. Ödev | 10 |
| 2. Kısa Sınav | 10 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 10 | 10 |
| Quiz | 2 | 5 | 10 |
| Assignment | 1 | 5 | 5 |
| Final examination | 1 | 15 | 15 |
| Toplam İş Yükü | 136 | ||
| Toplam İş Yükü / 25 (Saat) | 5,44 | ||
| Dersin AKTS Kredisi | 5 | ||