BİLGİ PAKETİ / DERS KATALOĞU
1410002033 High Performance Computing
Degree Programs
COMPUTER ENGINEERING
Diploma SupplementNational Qualifications
COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: 1410002033
Ders İsmi: High Performance Computing
Ders Yarıyılı: Fall
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Bölüm Seçmeli
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi Recep DURANAY
Course Lecturer(s):
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: Reaching the perfect result by using the high performances of the Operating Systems
Course Content: In High Performance Computing training; Efficient programming models used to quickly complete tasks with heavy processor load and computation time requirements on supercomputers, computer clusters and processors running in parallel will be introduced and various parallel programming applications will be developed with OpenMPI and MPI.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Students will be able to do high performance programming.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Processor Type: Intel Xeon 5500 Processors “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
2) Number of compute nodes “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
3) Number of compute cores: “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
4) Memory architecture “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
5) Node memory amount “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
6) Total memory “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
7) Network connection: Infiniband “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
8) CentOS “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
9) SFTC DEFORM v10.2 “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
10) Ls-Dyna R9.7.1 & Parallel Extensions “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
11) MSC Marc 2013 & Parallel Extensions “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
12) Simufact 2012.0.1 & Parallel Extensions “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
13) ESI Sysweld “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
14) Transvalor Forge 2011 & Paralell Extensions “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
15) DSS Abaqus & Parallel Extensions “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
16) Final

Sources

Course Notes / Textbooks: “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.
References: “Introduction to Parallel Computing”, 2nd ed., A.Grama & G.Karypis, Pearson, 2003.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems 5
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods 5
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 2 % 30
Midterms 1 % 30
Semester Final Exam 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 32 3 96
Midterms 1 2 2
Final 1 3 3
Total Workload 143