Course Name: High Performance Computing for Scientists and Engineers

Course abstract

Large-scale simulations of engineering and basic science problems require efficient use of modern high performance computing (HPC) infrastructure. This course is primarily aimed to introduce the concepts of high performance computing (HPC) to science and engineering students. Different parallel computing tools like MPI, OpenMP and CUDA will be discussed in connection with domain specific problems. This course will briefly introduce parallel architecture and discuss the performance metrics of HPC programs. Multi-CPU computing using both distributed and shared memory architecture will be discussed and OpenMP and MPI based parallelization of iterative matrix solvers will be discussed. Graphics processing unit (GPU) architecture and concepts of CUDA will be discussed. Matrix calculations using CUDA will be demonstrated.


Course Instructor

Media Object

Prof. Somnath Roy

Prof. Somnath Roy primary area of work is computational fluid dynamics (CFD). He had been working on several applications involving heat transfer, mixing and turbulence. He also investigate CFD problems involving high computational cost and try to propose high performance computing (HPC) methodologies to address them using multi-core clusters and GPGPU platforms. In last few years, he have been mostly involved in addressing flow problems with moving boundaries.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Nov 2020
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 Enrollment : 20-May-2020 to 21-Sep-2020
 Exam registration : 14-Sep-2020 to 02-Nov-2020
 Exam Date : 18-Dec-2020

Enrolled

1144

Registered

19

Certificate Eligible

14

Certified Category Count

Gold

1

Silver

7

Elite

2

Successfully completed

4

Participation

2

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 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
High Performance Computing for Scientists and Engineers - Toppers list

ANUJ BAJPAI 90%

NEEL KANTH GROVER 87%

I K GUJRAL PUNJAB TECHNICAL UNIVERSITY

Enrollment Statistics

Total Enrollment: 1144

Registration Statistics

Total Registration : 19

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.