M.E. Software Engineering:Parallel and Distributed Computing

Thapar University
In Patiala

Price on request
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Important information

  • Master
  • Patiala

Important information

Where and when

Starts Location
On request
Thapar University P.O Box 32, 147004, Punjab, India
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Course programme

Semester I Software Engineering Concepts and Methodologies Software Design and Construction Research Methodology Software Architecture Software Project Management Semester II Software Quality Management Software Verification, Validation and Testing Software Metrics Advanced Topics in Software Engineering Semester III Seminar Thesis (Starts) Semester IV Thesis (Continued) Parallel and Distributed Computing Introduction: What is parallel and distributed computing? Scope of parallel and distributed computing; Issues in parallel and distributed computing; Organization and contents of the course. Models Of Parallel Computing: Taxonomy of parallel structures ? Control mechanism, Address-Space Organization, Interconnection connection networks; Process Granularity; An idealized parallel computer; Dynamic Interconnection networks ? crossbar switching networks; Bus-based networks; multistage interconnection networks; Static interconnection networks ? types of static interconnection networks, evaluating static interconnection networks, embedding other networks ( Linear Array, Mesh, Binary Tree) into a hypercube; Routing mechanisms for static interconnection networks ? S tree and Forward(SF) Routing; Cut - Theory (CT) Routing; Cost-Performance trade-off; Architectural Models for Parallel Algorithm design. Basic Communication Operation: Simple message transfer between two processors; One-to-all broadcast; All-to-all broadcast; Reduction and prefix sums; One-to-all personalized communication; All-to-all personalized communication; circular shift; Faster method for some communication operation ? Routing messages in parts, All-port communication, Special hardware for Global operations. Performance And Scalability Of Parallel Systems: Performance matrics for Parallel systems ? Run time, Speed up, Efficiency and Cost; The effect of granularity and data mapping on performance; Scalability of parallel systems; Isoefficiency metric of scalability; Load imbalance and Extra computation; Minimum execution time and minimum cost-optimal execution time. Sorting: Sorting networks; Bubble sort and its variants; Quick sort and other sorting algorithms: Enumeration sort, Bucket sort, Sample sort and Radix sort. Search Algorithms For Discrete Optimization Problems: Sequential search algorithms; Search overhead factor; Parallel best-first search; Speedup anomalies in parallel search algorithms. Models Of Distributed Computing: Mini computer model; Workstation pool model; Client-server model; Pool of processors model; Hybrid model. Networking And Internetworking: Network technologies; Protocols; Technology case studies; Protocol case studies. Interprocess Communication And Remote Procedure Calling: Building blocks; Client-server communication; group communication; Case study: Interprocessor communication in UNIX; Design issues in Remote procedure calling; Implementation; Case Studies : SUN and ANSA; Asynchronous RPC. Distributed Operating Systems: Case Studies: Mach; Chorus; UNIX emulation in Mach and Chorus; Amoeba; A comparison of Mach, Amoeba and Chorus; Clouds; Firefly RPC; The Amoeba multicast protocol. Laboratory Work: Implementation of various parallel algorithms in parallel/distributed vnvironment.

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