2-ANSWER_SHEETS_CAT1_CSE4001_Parallel_and_Distributed_Computing_May_2019_.pdf

2-ANSWER_SHEETS_CAT1_CSE4001_Parallel_and_Distributed_Computing_May_2019_.pdf

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Course code Course title L T P J C CSE 4001 Parallel and Distributed Computing 2 0 2 4 4 Pre-requisite Syllabus version Course Objectives: 1. To introduce the fundamentals of parallel and distributed computing including parallel and distributed architectures and paradigms 2. To understand the technologies, system architecture, and communication architecture that propelled the growth of parallel and distributed computing systems 3. To develop and execute basic parallel and distributed application using basic programming models and tools. Expected Course Outcome: By the end of this module, the student will be able to 1. Identify and describe the physical organization of parallel platforms and remember the cost metrics that can be used for algorithm design. 2. Demonstrate knowledge of the core architectural aspects of Parallel Computing. 3. I ndicate key factors that contribute to efficient parallel algorithms and apply a suite of techniques that can be applied across a wide range of applications. 4. Distinguish the architectural and fundamental models that underpin distributed systems and identify challenges in the construction of distributed systems. 5. Analyze the issues in synchronizing clocks in distributed systems
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apply suitable algorithms to solve it effectively and examine how election algorithms can be implemented in a distributed system. 6. Discuss on how locking, timestamp ordering and optimistic concurrency control may be extended for use with distributed transactions. 7. Apply the concepts behind software architectures for large scale Web- based systems as well as to design, recognize and evaluate software architectures. 8. Design and build application programs on distributed Systems. 9. Analyze and Implement current distributed Computing research literature.
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