Exam Details

Subject Parallel Algorithms
Paper
Exam / Course B.Tech In Computer Science And Engineering (BTCSVI)
Department School of Engineering & Technology (SOET)
Organization indira gandhi national open university
Position
Exam Date June, 2016
City, State new delhi,


Question Paper

No. of Printed Pages: 2 IBICSE-0171 B.Tech. -VlEP -COMPUTER SCIENCE AND ENGINEERING (BTCSVI) Term-End Examination 00316 June, 2016
BICSE-017 PARALLEL ALGORITHMS
Time hours Maximum Marks: 70
Note: Answer any seven questions. All questions carry equal marks.

1. How does concurrency differ from parallelism Discuss the concept of data parallelism and control parallelism, with the help of suitable examples. 10

2. Explain the following in detail: 5+5=10

Sieve of Eratosthenes

PRAM model for parallel computation

3. Explain the concept of Dynamic Load Balancing on multi-computers. Give suitable examples. 10

4. What are parallel algorithms? How do they differ from concurrent algorithm Discuss in detail the notations for expressing parallel algorithms. 10

5. Explain the hypercube SIMD model and shuffle exchange SIMD model in detail. 5+5=10

6. Describe the fast Fourier transform with a suitable example. What is the utility of this transformation in parallel computing? 10

7. Write the algorithms for any two of the following: 5+5=10

Parallel quick sort

Hyper quick sort

Merge sort

8. Differentiate between the following 5+5=10

Jacobi-Over-Relaxation and Successive-Over-Relaxation

Jacobi algorithm and Gauss-Seidel algorithm

9. Explain Ellie's algorithm with the help of a suitable example. 10

10. Write short notes on any two of the following: 5+5=10

Minimum Cost Spanning Tree

Parallel Branch and Bound Algorithm

Parallel Alpha-Beta Search


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Subjects

  • Advanced Computer Architecture
  • Artificial Intelligence
  • Computer Architecture
  • Computer Networks
  • Computer Organisations
  • Cryptography And Network Security
  • Data Structure
  • Data Warehousing And Mining
  • Database Management System
  • Design and Analysis of Algorithm
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  • Logic Design
  • Microprocessor
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  • Theory Of Computation
  • Unix Internals And Shell Programming
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