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.


More info

Teaching Assistant(s)

Deepanshu Jindal

B.Tech. Computer Science

IITD

 Course Duration : Aug-Sep 2018

  View Course

 Enrollment : 18-Apr-2018 to 13-Aug-2018

 Exam registration : 25-Jun-2018 to 28-Aug-2018

 Exam Date : 07-Oct-2018

Enrolled

3279

Registered

218

Certificate Eligible

101

Certified Category Count

Gold

0

Silver

0

Elite

43

Successfully completed

58

Participation

36

Success

Elite

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.
Introduction to parallel Programming in Open MP - Toppers list
Top 1 % of Certified Candidates

SONIKA THAKRAL 87%

SHAHEED SUKHDEV COLLEGE OF BUSINESS STUDIES


Top 2 % of Certified Candidates

SHREYAS A R 85%

R V COLLEGE OF ENGINEERING


Top 5 % of Certified Candidates

NAMITHA PADMANABHAN 84%

R V COLLEGE OF ENGINEERING

RAJDEEPA CHAKRABARTY 81%

VIT UNIVERSITY-VELLORE

MALIKA MAKKER 78%

R V COLLEGE OF ENGINEERING

SHRIKANTH SUDHERSAN 78%

HONEYWELL TECHNOLOGY SOLUTIONS

Enrollment Statistics

Total Enrollment: -1

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Registration Statistics

Total Registration : 218

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.