Course abstract
This course focuses on the shared memory programming paradigm. It covers concepts & programming principles involved in developing scalable parallel applications. Assignments focus on writing scalable programs for multi-core architectures using OpenMP and C. This is an introductory course in shared memory parallel programming suitable for computer science as well as non-computer science students working on parallel/HPC applications and interested in parallel programming.
Course Instructor
Prof. Yogish Sabharwal
Yogish Sabharwal is a researcher at IBM Research and serves as an adjunct faculty at IIT Delhi. At IBM, he manages the high performance computing group, that ensures that real-world applications are able to extract the best performance out of HPC systems. He has 70+ papers including 3 best paper awards, 2 best paper nominations and a Gordon Bell finalist. His work has won several competitions organized in the HPC community.
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Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Aug-Sep 2017
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Enrollment : 17-May-2017 to 21-Aug-2017
Exam registration : 30-Aug-2017 to 20-Sep-2017
Exam Date : 22-Oct-2017
Enrolled
4730
Registered
104
Certificate Eligible
53
Certified Category Count
Gold
0
Silver
0
Elite
14
Successfully completed
39
Participation
21
Success
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Category : Successfully Completed
Elite
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Category : Elite
Gold
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Category : Gold
Legend
>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate
Final Score Calculation Logic
- Assignment Score = Average of best 3 out of 4 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Enrollment Statistics
Total Enrollment: -1
Registration Statistics
Total Registration : 118
Assignment Statistics
Exam score
Final score