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A Novel Approach for teaching a course on “ Parallel Computing Systems”

This novel approach focuses on activity-based learning to teach parallel computing, addressing various complexities and applications. The course outcomes include selecting programming models, cache coherence design, GPU vs CPU benefits, and more.

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A Novel Approach for teaching a course on “ Parallel Computing Systems”

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  1. A Novel Approach for teaching a course on “ Parallel Computing Systems” Dr.P.Chitra,Professor Department of Computer Science and Engineering Thiagarajar college of engineering

  2. Introduction • The scientific and engineering applications are designed with more complexity and precision, in order to obtain more accurate results. • Parallel environments are needed to address this complex applications. • Parallel application development has been included in various areas such as biology, physics, chemistry, etc. and this necessitated that parallel programming course had to be included in the teaching curriculum. • This poster highlights on the activity based learning approach for teaching the course

  3. The major course outcomes • CO1: To select the appropriate parallel programming model for the given application. • CO2: Apply the constructs of parallel programming model to convert a sequential program to parallel program. • CO3: Design protocols for ensuring cache coherence using the directory based and snooping class of protocols. • CO4: Develop parallel programs using OpenMP and MPI constructs. • CO5: Characterize the benefits of using a GPU versus CPU for a typical parallel application

  4. Activities Conducted during the Course

  5. Interim Assessment Methodologies Mini project taken over by a team of 2–3 students. Topics assigned include: parallel implementation of gauss-seidel algorithm for linear systems, and mandelbrot set, odd-even sorting,etc

  6. Evaluation of the Teaching Methodology • 62 students enrolled in the course, 56 students completed the survey. • The table represents the perception of the students and the actual evaluation of the instructor(s) based on the Continuous assessment tests (40%), assignments/project (20%), and the Final examination (40%).

  7. Conclusion • An innovative approach to teach the parallel computing and hence to improve the effectiveness of learning. • The students were engaged with visualizations, role play, and practical exercises. • The students were provided with informative notes and source code. • Evaluation shows a significant improvement in understanding theoretical and practical topics of parallel computing. • Further, the active learning approach seems to give students an advantage in terms of allowing them to engage in the material and learn it more effectively.

  8. Thank you Contact: pccse@tce.edu

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