Parallel and Distributed Algorithms Detailed Syllabus for Computer Science and Engineering M.Tech first year first sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Parallel and Distributed Algorithms M.Tech 2017-2018 (R17) first year first sem is as follows.
M.Tech. I Year I Sem.
Course Objectives:
- To learn parallel and distributed algorithms development techniques for shared memory and message passing models.
- To study the main classes of parallel algorithms.
- To study the complexity and correctness models for parallel algorithms.
UNIT-I : Basic Techniques, Parallel Computers for increase Computation speed, Parallel & Cluster Computing
UNIT-II : Message Passing Technique- Evaluating Parallel programs and debugging, Portioning and Divide and Conquer strategies examples
UNIT-III : Pipelining- Techniques computing platform, pipeline programs examples
UNIT-IV: Synchronous Computations, load balancing, distributed termination examples, programming with shared memory, shared memory multiprocessor constructs for specifying parallelist sharing data parallel programming languages and constructs, open MP
UNIT-V : Distributed shared memory systems and programming achieving constant memory distributed shared memory programming primitives, algorithms – sorting and numerical algorithms.
TEXT BOOK:
- Parallel Programming, Barry Wilkinson, Michael Allen, Pearson Education, 2nd Edition.
REFERENCE BOOK:
- Introduction to Parallel algorithms by Jaja from Pearson, 1992.
For all other M.Tech 1st Year 1st Sem syllabus go to JNTUH M.Tech Computer Science and Engineering 1st Year 1st Sem Course Structure for (R17) Batch.
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