Course Name: Introduction to Parallel Programming in Open MP

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

Media Object

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 yet
 Course 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

Elite

Silver

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.
Introduction to Parallel Programming in Open MP - Toppers list

YASH KUMAR 90%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

NIPUN BHARTI 86%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

Enrollment Statistics

Total Enrollment: -1

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Registration Statistics

Total Registration : 91

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.