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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ELECTIVE

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR RESMIYE NASIBOĞLU

Offered to

Computer Science

Course Objective

The goal of this course is to introduce high performance computing systems and fundamental notions of parallel computing to participants, as well as providing them with the knowledge to write basic parallel programs in different computing environments.

Learning Outcomes of the Course Unit

1   Understand parallel computing notions. 2   Have information about high performance computing systems. 3   Know, design and analyze basic parallel algorithms. 4   Ability to write basic parallel programs.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction 2 High Performance Computer Architectures, Flynn s Taxonomy 3 PRAM Computing Model 4 Performance Analysis 5 Shared Memory Programming Model OpenMP 6 Distributed Memory Programming Model MPI 7 Heterogeneous and GPGPU Programming Models 8 Midterm exam 9 Parallel Algorithms Embarrassingly Parallel 10 Parallel Algorithms Divide and Conquer 11 Parallel Algorithms Searching and Sorting 12 Synchronization Methods 13 Load-Balancing Methods 14 Recap and Advanced Topics in Parallel Computing

Recomended or Required Reading

Textbook(s): Ananth Grama, Anshul Gupta, George Karypis, Vipin Kumar. Introduction to Parallel Computing. ISBN-13: 978-0201648652 Supplementary Book(s): Peter Pacheco. An Introduction to Parallel Programming. ISBN-13: 978-0123742605

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.35 + FIN * 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.35 + RST * 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

efendi.nasibov@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 2 26 Tutorials 13 2 26 Preparations before/after weekly lectures 13 3 39 Preparation for midterm exam 1 10 10 Preparation for final exam 1 15 15 Preparing assignments 2 7 14 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 134

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 4 4 LO.2 4 4 LO.3 4 4 LO.4 4 4