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ENGINEERING FACULTY / COMPUTER ENGINEERING / BLM3021 - PARALLEL PROGRAMMING
GENERAL INFORMATION ABOUT THE COURSE
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Course Objective
The objective of this course is to provide students with an understanding of parallel programming approaches and techniques used to meet the increasing demands of computing. By learning the architectures, types of parallelism, and programming models of parallel systems, students will gain the ability to develop parallel applications in distributed memory systems, particularly through the MPI (Message Passing Interface) library. The course will explore topics such as performance metrics, load balancing, communication cost, and speedup analysis, with the goal of equipping students with efficient, scalable, and high-performance parallel algorithms to solve real-world problems.
Brief Content of the Course
This course examines parallel programming concepts, methods, and tools developed to meet the needs of high-performance computing. By covering parallel computer architectures, types of parallelism, programming models, and performance metrics, students are expected to acquire fundamental knowledge and skills in parallel algorithm design. The course will cover interprocess communication, data sharing, collective operations, load balancing, and performance analysis, particularly using the MPI (Message Passing Interface) library. By the end of the semester, students will have experience developing efficient and scalable parallel applications for real-world applications.
Prerequisites
Course Objectives
Course Objectives
1
To provide the ability to solve complex problems with parallel approaches by understanding the basic concepts, architectures and programming models of parallel systems.
2
To provide the ability to develop efficient, scalable and high-performance parallel applications in distributed memory systems using the MPI (Message Passing Interface) library.
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Mathematics and Basic Sciences
Basic Vocational Courses
Expertise /Field Courses