Course Information
| Course Unit Title |
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Introduction to Parallel Computing |
| Course Unit Code |
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01FZK5171 |
| Type of Course Unit |
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Optional |
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Level of Course Unit
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Second Cycle |
| Year of Study
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Preb |
| Semester
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255.Semester |
| Number of ECTS Credits Allocated
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6,00 |
| Name of Lecturer(s) |
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---
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| Course Assistants |
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---
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| Learning Outcomes of The Course Unit |
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- Improving C and Fortran coding skills,
- Learning MPI and PVM parallel coding techniques
- Application of coding on physics problems
- Finding a solution for challenging physics problems requring high performance,
- Improving physics and engeneering students? programming skills.
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| Mode of Delivery |
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Face-To-Face
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| Prerequisities and Co-requisities Courses |
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Unavailable
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| Recommended Optional Programme Components |
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Unavailable
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| Course Contents |
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Computer Architecture, High Performance Computing ? Parallelism, Fast processors architectures, MIMD - memory organization, Standard MPI, Standard PVM, Elementary MPI: What is MPI?; Binding to C and Fortran; MPI Initialization; Who Am I?; Finalizing MPI; Building an MPI code; Running an MPI code, Message Passing, Point to Point Communication: Communication Modes; Communication Envelope; Deadlock; Timing; The Cost of Communication; Simple examples.
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Languages of Instruction |
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Turkish-English
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| Course Goals |
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- Introduce the parallel systems
- Understand what the parallel programming is
- Doing basic parallel computing with MPI and PVM.
- Converting basic serial C and Fortran codes into parallel ones.
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Course Aims |
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- Digest to students what the parallel computing is
- How to get high performance with parallel computing
- Digest the message passing enviroment
- Digest distributed memory paradigm
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WorkPlacement |
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doing homework
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Recommended or Required Reading
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Textbook
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Lecture Notes
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Additional Resources
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1. MPI in Wikipedia
en.wikipedia.org/wiki/Message_Passing_Interface
2. Tutorial on MPI
www.llnl.gov/computing/tutorials/mpi
3. Using MPI - 2nd Edition by
William Gropp, Ewing Lusk, and Anthony Skjellum
4. Parallel Programming with MPI
by Peter Pacheco
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Material Sharing
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Documents
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Assignments
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There are 7-8 homework during the term.
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Exams
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1 midterm exam and 1 final exam
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Additional Material
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Planned Learning Activities and Teaching Methods
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Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
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ECTS / Table Of Workload (Number of ECTS credits allocated)
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Student workload surveys utilized to determine ECTS credits.
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Activity
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Course Duration (Excluding Exam Week)
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Time Of Studying Out Of Class
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Homeworks
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Presentation
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Project
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Lab Study
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Field Study
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Visas
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Finals
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Workload Hour (30)
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Total Work Charge / Hour
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Course's ECTS Credit
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Assessment Methods and Criteria
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Studies During Halfterm
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Visa
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Quiz
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Homework
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Attendance
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Application
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Lab
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Project
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Workshop
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Seminary
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Field study
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TOTAL
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The ratio of the term to success
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The ratio of final to success
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TOTAL
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Weekly Detailed Course Content
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Week
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Topics
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1
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Introduction to Parallel Computing: Computer Architecture
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2
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High Performance Computing - Parallelism
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3
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Fast processors architectures
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4
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MIMD - memory organization
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5
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Standard MPI
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6
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Standard PVM
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7
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Elementary MPI: What is MPI?; Binding to C and Fortran;
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8
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Elementary MPI: MPI Initialization; Who Am I?; Finalizing MPI
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9
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Elementary MPI: Building an MPI code; Running an MPI code
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10
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Message Passing
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11
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Point to Point Communication: Communication Modes; Communication Envelope
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12
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Point to Point Communication: Deadlock; Timing; The Cost of Communication
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13
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Simple examples
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14
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Some examples
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