High Performance Computing (3-0-0-6)
Theme: Mobile Cloud Computing/IoT/FoG Computing/Edge Computing

Instructor : A. Sahu TAs : K. Chitra, Harshwardhan Dubey, B R Rahul, Gandhi Preet Rakeshbhai,
Lecture time and Venue: Time slot C1 (Tuesday, Wednesday and Thursday 3.00PM-4.00PM), online via MS Team
Course Structure: There will be four part in the course
  1. Part(a): HPC system and Programming, Scheduling,
  2. Part (b) : Cloud System,
  3. Part(c) : IoT/Edge/FoG Computing,
  4. Part (d) : Advanced Topics from Recent Research Papers
Grading Policy: There will be two quizes (pre announced), one mid semester and one end semester examination. All quiz and examination will be TM-RF-OP-MCQSA model (30 minute rapid fire online proctored MCQ/ShortAnswered type examination in quiz/exam). There will one TM-RF-OP-MCQSA, one TM-RF-OP-MCQSA, two TM-RF-OP-MCQSA and two TM-RF-OP-MCQSA examination in quiz1 quiz 2, mid sem and end sem examination respectively.
Weigtage: 15 marks per TM-RF-OP-MCQSA, so total 90 marks, 10 marks for class pariticipation. In online setting, class participation in the course have impact on the grades significantly, so please attend the classes carefully. Every online class we will take attendance 5 times and attendance will be calculated automatically. Also there will be some extra marks for interaction in the classes.
Lecture Notes:
Text/reference Book:
  1. George Hager and Gerhard Wellein. Introduction to High Performance Computing for Scientists and EngineersCRC Press, India, 2010.
    2. Very good HPC web link by George Hager HPC course by Hager
  2. Online HPC Book

  3. PAPER: A survey on Cloud Resource Scheduling ACM Survey Cloud Scheduling
  4. PAPER: Energy Efficiency Techniques in Cloud Computing A Survey and Taxonomy PDF
  5. PAPER: A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing SystemsPDF
  6. PAPER: Cloud Computing Survey on Energy EfficiencyPDF