Multi-Core Architectures and Programming C&C 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective III) detail syllabus for Computer & Communication Engineering (C&C), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (CS8083), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other c&c 7th sem syllabus for be 2017 regulation anna univ you can visit C&C 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective III subjects do refer to Professional Elective III. The detail syllabus for multi-core architectures and programming is as follows.
Course Objective:
- To understand the need for multi-core processors, and their architecture.
- To understand the challenges in parallel and multi-threaded programming.
- To learn about the various parallel programming paradigms,
- To develop multicore programs and design parallel solutions.
Unit I
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Unit II
Parallel Program Challenges
Performance – Scalability – Synchronization and data sharing – Data races – Synchronization primitives (mutexes, locks, semaphores, barriers) – deadlocks and livelocks – communication between threads (condition variables, signals, message queues and pipes).
Unit III
Shared Memory Programming With Openmp
OpenMP Execution Model – Memory Model – OpenMP Directives – Work-sharing Constructs -Library functions – Handling Data and Functional Parallelism – Handling Loops – Performance Considerations.
Unit IV
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Unit V
Parallel Program Development
Case studies – n-Body solvers – Tree Search – OpenMP and MPI implementations and comparison.
Course Outcome:
At the end of the course, the students should be able to:
- Describe multicore architectures and identify their characteristics and challenges.
- Identify the issues in programming Parallel Processors.
- Write programs using OpenMP and MPI.
- Design parallel programming solutions to common problems.
- Compare and contrast programming for serial processors and programming for parallel processors.
Text Books:
- Peter S. Pacheco, An Introduction to Parallel Programming, Morgan-Kauffman/Elsevier, 2011.
- Darryl Gove, Multicore Application Programming for Windows, Linux, and Oracle Solaris, Pearson, 2011 (unit 2)
References:
- Michael J Quinn, Parallel programming in C with MPI and OpenMP, Tata McGraw Hill,2003.
- Victor Alessandrini, Shared Memory Application Programming, 1st Edition, Concepts and Strategies in Multicore Application Programming, Morgan Kaufmann, 2015.
- Yan Solihin, Fundamentals of Parallel Multicore Architecture, CRC Press, 2015.
For detail syllabus of all other subjects of BE C&C, 2017 regulation do visit C&C 7th Sem syllabus for 2017 Regulation.
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