Download PTU. I.K. Gujral Punjab Technical University (IKGPTU) M.Tech IT 3rd Semester 35417 PARALLEL COMPUTING Question Paper.
Roll No. Total No. of Pages : 02
Total No. of Questions : 08
M.Tech.(IT)/(CSE Engg.) (E-III) (Sem.?3)
PARALLEL COMPUTING
Subject Code : CS-517
M.Code : 35417
Time : 3 Hrs. Max. Marks : 100
INSTRUCTION TO CANDIDATES :
1. Attempt any FIVE questions out of EIGHT questions.
2. Each question carry TWENTY marks.
1. a) What is meant by Parallel Computing? Discuss the reduction paradigm of parallel
computing and enlist various applications that need parallel computation,
b) Describe the hardware taxonomy and elaborate the important features of Handler's
classification along with its advantages.
2. a) Explain the PRAM model and discuss which PRAM model can be used to execute any
other PRAM algorithm and how.
b) Discuss the parallelism approaches and outline the tradeoff between data and control
parallelism.
3. a) Discuss in detail the performance metrics and laws governing performance
measurements of a parallel program computation.
b) Define and explain the metrices-speedups, efficiency, utilization and communication
overhead with respect to single program performance execution.
4. a) Outline the organization of a processor. Also, differentiate between static and dynamic
interconnection with example.
b) Explain Embeddings and Simulation along with their important features.
5. a) Discuss the technique of SPMD under software taxonomy of parallel computing,
b) Briefly discuss the characteristics and features of S1MD and MIMD.
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1 | M- 35417 (S9)-871
Roll No. Total No. of Pages : 02
Total No. of Questions : 08
M.Tech.(IT)/(CSE Engg.) (E-III) (Sem.?3)
PARALLEL COMPUTING
Subject Code : CS-517
M.Code : 35417
Time : 3 Hrs. Max. Marks : 100
INSTRUCTION TO CANDIDATES :
1. Attempt any FIVE questions out of EIGHT questions.
2. Each question carry TWENTY marks.
1. a) What is meant by Parallel Computing? Discuss the reduction paradigm of parallel
computing and enlist various applications that need parallel computation,
b) Describe the hardware taxonomy and elaborate the important features of Handler's
classification along with its advantages.
2. a) Explain the PRAM model and discuss which PRAM model can be used to execute any
other PRAM algorithm and how.
b) Discuss the parallelism approaches and outline the tradeoff between data and control
parallelism.
3. a) Discuss in detail the performance metrics and laws governing performance
measurements of a parallel program computation.
b) Define and explain the metrices-speedups, efficiency, utilization and communication
overhead with respect to single program performance execution.
4. a) Outline the organization of a processor. Also, differentiate between static and dynamic
interconnection with example.
b) Explain Embeddings and Simulation along with their important features.
5. a) Discuss the technique of SPMD under software taxonomy of parallel computing,
b) Briefly discuss the characteristics and features of S1MD and MIMD.
2 | M- 35417 (S9)-871
6. a) What is parallel programming? Explain data parallel programming along with its
advantages and disadvantages.
b) Compare and contrast the major characteristics of shared memory programming and
distributed memory programming.
7. a) Explain in detail the scheduling and parallelization techniques. Also, discuss the
support environments for parallel programming.
b) How do we schedule parallel programs? Describe the process of loop scheduling with
the help of an example program.
8. Explain the following :
a) Flynn?s classification
b) Object-oriented programming
NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any
page of Answer Sheet will lead to UMC against the Student.
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This post was last modified on 13 December 2019