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Study Parallel Computing - MCA Subject

Parallel Computing

STUDY - Introduction to Parallel Computing:

Supercomputers and grand challenge problems, Modern Parallel
Computers, Data Dependence Graph, Data Parallelism, Functional Parallelism, Pipelining and Data Clustering.

STUDY - Interconnection Networks:

Switch Network Topologies, Direct and Indirect Network Topology, Bus, Star,
Ring, Mesh, Tree, Binary Tree Network, Hyper Tree Network, Hybrid, Hypercube, Perfect Shuffle Network,
Torus and Butterfly Network.

STUDY - Performance Analysis:

Introduction, Execution Time, Speedup, Linear and Superlinear Speedup, Efficacy and
Efficiency, Amdahl’s Law and Amdahl Effect, Gustafson-Barsis’s Law, Minsky's Conjecture, The Karp-Flatt
Metric, The Isoefficiency Metric, Isoefficiency Relation, Cost and Scalability.

STUDY - Parallel Computational Models:

Flynn’s Taxonomy, PRAM, EREW, CREW, ERCW, CRCW, Simulating
CRCW, CREW and EREW, PRAM algorithms.

STUDY - Introduction to Parallel Algorithms:

Parallel Programming Models, PVM, MPI Paradigms, Parallel
Programming Language, Brent’s Theorem, Simple parallel programs in MPI environments, Parallel algorithms
on network, Addition of Matrices, Multiplication of Matrices.





MCA Subjects


Advanced Computer Architecture
Theory of Computation
Advanced course in Software Engineering
Advanced DBMS
Artificial Intelligence
Bioinformatics Algorithms
Business Accounting
Compiler Design
Computer Graphics
Computer Organization and Architecture
Data and File Structures
Data Communication and Computer Networks
Database Management Systems
Design Methods and Analysis of Algorithms
Discrete Mathematical Structures
Distributed Systems
E commerce
Information Retrieval and Web Mining
Internals of UNIX OS and Network Programming
Introduction to Computer Programming through C
Introduction to Cryptography
Numerical Computing
Object Oriented Programming through JAVA
Operating System Concepts
Operation Research
Parallel Computing
Quantum Computing
Science of Programming
Simulation and Modeling
Soft Computing Techniques
Software Engineering

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