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 : Jan-Feb 2021
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Syllabus
Enrollment : 18-Nov-2020 to 25-Jan-2021
Exam registration : 15-Jan-2021 to 12-Feb-2021
Exam Date : 21-Mar-2021
Enrolled
1123
Registered
39
Certificate Eligible
11
Certified Category Count
Gold
1
Silver
3
Elite
2
Successfully completed
5
Participation
8
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
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: 1123
Registration Statistics
Total Registration : 40
Assignment Statistics
Exam score
Final score