COMPUTER ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | 1410002033 | ||||||||
Ders İsmi: | High Performance Computing | ||||||||
Ders Yarıyılı: | Spring | ||||||||
Ders Kredileri: |
|
||||||||
Language of instruction: | TR | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Bölüm Seçmeli | ||||||||
Course Level: |
|
||||||||
Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi Recep DURANAY | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
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. |
The students who have succeeded in this course;
|
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 |
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 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 |
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 |
Course | |
Homework |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Homework |
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 |
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 |