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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
PARALLEL AND DISTRIBUTED SYSTEM PROGRAMMING BSM 626 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Doktora
Dersin Türü SECMELI
Dersin Koordinatörü Prof.Dr. AHMET ÖZMEN
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Demand to high performance systems are ever increasing. Parallel computing is the best way of achieving high performance computing. Hence, the goal of this course is to teach paralel computing methods.
Dersin İçeriği
Classification of paralel systems and properties of this systems. Application development for both shared memory system by using GPGPU and distributed paralel systems by using MPI. Performance analysisi of paralel systems.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - 1 - 3 - A - C -
2 - Develops application for shared memory systems. 8 - 16 - A - C - D -
3 - Develops application for distributed parallel systems 8 - 16 - A - C - D -
Öğretim Yöntemleri: 1:Lecture 3:Discussion 8:Group Study 16:Project Based Learning
Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
1 Classification of paralel architectures.
2 Performance measurement.
3 Multi-processor systems and internetworking.
4 Multi-computer systems and internetworking.
5 Parallel programming models.
6 Parallel programming on multi processor systems (shared memory systems)
7 Synchronization between processes.
8 GPGPU applications.
9 Laboratory experiment.
10 Parallel programming on multi-computer systems.
11 Introduction to MPI and PVM.
12 Parallel computing and load distribution.
13 Performance analysis of paralel systems
14 Laboratory experiment.

Kaynaklar

Ders Notu Computer Architecture, Single and Parallel Systems, M. Zargham, Prentice Hall.
Ders Kaynakları 1. 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.

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
4 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering
5 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 gain high level ability to define the required information and data X
7 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
8 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of new and developing application of profession and ability to analyze and study on those applications X
11 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 10
Odev 1 30
KisaSinav 2 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(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 25 25
Final examination 1 20 20
Toplam İş Yükü 141
Toplam İş Yükü /25(s) 5.64
Dersin AKTS Kredisi 5.64
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