CS8001 PARALLEL ALGORITHMS Syllabus 2017 Regulation


CS8001 PARALLEL ALGORITHMS Syllabus 2017 Regulation

PARALLEL ALGORITHMS Syllabus 2017 Regulation,CS8001 PARALLEL ALGORITHMS Syllabus 2017 Regulation

CS8001                                   PARALLEL ALGORITHMS                                    L T P C                                                                                                                             3 0 0 3


  • To understand different parallel architectures and models of computation.
  • To introduce the various classes of parallel algorithms.
  • To study parallel algorithms for basic problems.

UNIT I INTRODUCTION                                                   9

Need for Parallel Processing – Data and Temporal Parallelism – Models of Computation – RAM and PRAM Model – Shared Memory and Message Passing Models- Processor Organisations – PRAM Algorithm – Analysis of PRAM Algorithms- Parallel Programming Languages.

UNIT II PRAM ALGORITHMS                                          9

Parallel Algorithms for Reduction – Prefix Sum – List Ranking –Preorder Tree Traversal – Searching -Sorting – Merging Two Sorted Lists – Matrix Multiplication – Graph Coloring – Graph Searching.

UNIT III SIMD ALGORITHMS –                                       I9

2D Mesh SIMD Model – Parallel Algorithms for Reduction – Prefix Computation – Selection – Odd-Even Merge Sorting – Matrix Multiplication

UNIT IV SIMD ALGORITHMS -II                                      9

Hypercube SIMD Model – Parallel Algorithms for Selection- Odd-Even Merge Sort- Bitonic Sort- Matrix Multiplication Shuffle Exchange SIMD Model – Parallel Algorithms for Reduction -Bitonic Merge Sort – Matrix Multiplication – Minimum Cost Spanning Tree

UNIT V MIMD ALGORITHMS                                           9

UMA Multiprocessor Model -Parallel Summing on Multiprocessor- Matrix Multiplication on Multiprocessors and Multicomputer – Parallel Quick Sort – Mapping Data to Processors.

                                                                                                     TOTAL : 45 PERIODS


Upon completion of this course, the students should be able to

  • Develop parallel algorithms for standard problems and applications.
  • Analyse efficiency of different parallel algorithms.


  1. Michael J. Quinn, “Parallel Computing : Theory & Practice”, Tata McGraw Hill Edition, Second edition, 2017.
  2. Ellis Horowitz, Sartaj Sahni and Sanguthevar Rajasekaran, “Fundamentals of Computer Algorithms”, University press, Second edition , 2011.
  3. V Rajaraman, C Siva Ram Murthy, ” Parallel computers- Architecture and Programming “, PHI learning, 2016.


  1. Ananth Grame, George Karpis, Vipin Kumar and Anshul Gupta, “Introduction to Parallel Computing”, 2nd Edition, Addison Wesley, 2003.
  2. M Sasikumar, Dinesh Shikhare and P Ravi Prakash , ” Introduction to Parallel Processing”, PHI learning , 2013.
  3. S.G.Akl, “The Design and Analysis of Parallel Algorithms”, PHI, 1989.


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