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 2019
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Enrollment : 15-May-2019 to 26-Aug-2019
Exam registration : 01-Jun-2019 to 30-Sep-2019
Exam Date : 17-Nov-2019
Enrolled
2596
Registered
91
Certificate Eligible
36
Certified Category Count
Gold
1
Silver
6
Elite
7
Successfully completed
22
Participation
32
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 >=40
BASED 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: -1
Registration Statistics
Total Registration : 91
Assignment Statistics
Exam score
Final score