Introduction to High Performance Computing
Teacher
Dr.Banitamani Mallik
Category
Certificate Courses
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Course Name : Introduction to High Performance Computing
Code(Credit) :CUTM3080(2-2-0)
Course Objectives
- • HPC introduces the concepts of parallel and distributed computing. Parallel Computing is used to improve performance of Multi-core Machine using Open MP and Open MPI Programming.
• The students will learn the basic concepts and technology of parallel, distributed and Cloud Computing. The participant will get hands-on- experience on Open MP, Open MP Programming and Virtualization in Cloud Computing.
Learning Outcomes
• Write Parallel Program using OpenMP
• Understand the basics of Cluster, Grid Computing and how to minimize execution time of Program and
Maximize throughput
• Understand data dependencies and how to eliminate dependency in Program
Course Syllabus
Module I: Parallel Computing (5T+4P) Hrs
Introduction to Parallel programming concepts and their classifications , Flynn’s Classification , Structural Classification , Classification Based on Grain Size , Examples of Parallel Computations
Practice-1
To study the basic commands of Linux.
Practice-2
To establish Beowulf Cluster using MPI(Message Passing Interface) Library.
Module II: Cluster Computing (5T+6P) Hrs
Introduction to Cluster Computing, Motivation behind Cluster Computing, Applications ,Advantages, Scalable Parallel Computer Architectures; Cluster Computer and its Architecture, Challenges ,Classifications, Components for Clusters, Cluster Middleware and Single System Image, Resource Management and Scheduling (RMS)
Practice-3
Installation and configuration of Alchemi Grid.
Practice-4
Running a sample application on Alchemi Grid and analysing it.
Practice-5
To study a Grid Simulation Toolkit.
Module III: Grid Computing (5T+6P) Hrs
An overview of Grid Computing, Virtual Organizations, Architecture, Applications, Computational Data, Desktop and Enterprise Grids, Data-intensive Applications
Practice-6
To run two sample programs using GridSim Toolkit.
Practice-7
To run two sample programs using GridSim Toolkit.
Practice-8
To study a Cloud Simulation Toolkit.
Module IV: Cloud Computing (5T+8P) Hrs
Introduction to cloud computing, Characteristics of cloud computing, Advantages and Disadvantages of Cloud Computing, Difference between grid and cloud computing, Cloud Computing Architecture. Cloud computing applications, Security Risks of Cloud Computing.
.
Practice-9
To setup Cloud.
Practice-10
Multithreading in Python
Practice-11
Parallel Programming in Python
Practice-12
Multiprocessing in python
Text Books:
1. Introduction to High Performance Computing for Scientists and Engineers, Georg Hager Gerhard Wellein ,CRC Press
2. R. Buyya, High Performance Cluster Computing: Architectures and Systems, Volume 1, Pearson Education, 2008.
3. D. Janakiram, Grid Computing, Tata McGraw-Hill, 2005.
Reference Books:
1. B. Sosinsky, Cloud Computing Bible, Wiley, 2011.
2. B. Wilkinson, Grid Computing: Techniques and Applications, CRC Press, 2009.
3. R. Buyya, C. Vecchiola and S. T. Selvi, Mastering Cloud Computing Foundations and Applications Programming, Morgan Kaufmann, Elsevier, 2013.
Session Plan
Session 1
Introduction to Parallel programming concepts and their classifications.
Session 2
Flynn’s Classification
Parallel Computing_PPT-2
Web Link
https://www.youtube.com/watch?v=tWRL2VJL-FA.
Session 3
Structural Classification
Parallel Computing_PPT-3
Web Link
https://www.youtube.com/watch?v=CO0ix61lN8k.
Session 4
Classification Based on Grain Size
Parallel Computing_PPT-4
Web Link
https://www.youtube.com/watch?v=D7UK46gXhcA.
Session 5
Examples of Parallel Computations
Parallel Computing_PPT-5
Web Link
https://www.youtube.com/watch?v=q7sgzDH1cR8.
Session 6 & 7
Practice-1
To study the basic commands of Linux.
Web Link
https://www.youtube.com/watch?v=cBokz0LTizk.
Session 8 & 9
Practice-2
To establish Beowulf Cluster using MPI(Message Passing Interface) Library.
Web Link
https://www.youtube.com/watch?v=VcLEdqrvPKI.
Session 10
Introduction to Cluster Computing, Motivation behind Cluster Computing, Applications, Advantages
PPT-1-CLuster Computing
Web Link
https://www.youtube.com/watch?v=iNkixV_INy0.
Session 11
Scalable Parallel Computer Architectures, Cluster Computer and its Architecture ,Challenges
PPT-2-CLuster Computing
Web Link
https://www.youtube.com/watch?v=7zJUceJiYxQ.
Session 12
Cluster Classifications
PPT-3-CLuster Computing
Web Link
https://www.youtube.com/watch?v=4cxVDUybHrI.
Session 13
Components for Clusters
PPT-4-CLuster Computing py
Web Link
https://www.youtube.com/watch?v=GaujyjZxSuQ.
Session 14
Cluster Middleware and Single System Image, Resource Management and Scheduling (RMS)
PPT-5-CLuster Computing
Session 15 &16
Practice-3
Installation and configuration of Alchemi Grid.
Web Link
https://www.youtube.com/watch?v=L7Ha8yRjEZI.
Session 17 &18
Practice-4
Running a sample application on Alchemi Grid and analysing it.
Session 19 & 20
Practice-5
To study a Grid Simulation Toolkit.
Web Link
https://www.youtube.com/watch?v=ubNGhL4iUAU.
Session 21
An overview of Grid Computing
Web Link
https://www.youtube.com/watch?v=vkBY07pbgGU.
Session 22
Virtual Organizations, Architecture
Web Link
https://www.youtube.com/watch?v=otu3MZIohdg.
Session 26 &27
Practice-6
To run two sample programs using GridSim Toolkit.
Session 28 &29
Practice-7
To run two sample programs using GridSim Toolkit.
Session 30 &31
Practice-8
To study a Cloud Simulation Toolkit.
Session 32
Introduction to cloud computing, Characteristics of cloud computing.
Web Link
https://www.youtube.com/watch?v=r7HTgHbZ4ko.
Session 33
Advantages and Disadvantages of Cloud Computing, Difference between grid and cloud computing.
Web Link
https://www.youtube.com/watch?v=N8d_ZvFJf-g.
Session 34
Cloud Computing Architecture.
Web Link
https://www.youtube.com/watch?v=sNLhh9OyDj8.
Session 35
Cloud Computing Applications .
Web Link
https://www.youtube.com/watch?v=M988_fsOSWo.
Session 36
Security Risks of Cloud Computing
Web Link
https://www.youtube.com/watch?v=wI84CjHMKhk.
Session 37 &38
Practice-9
To setup Cloud.
Session 39 & 40
Practice-10
Multithreading in Python
Web Link
https://www.youtube.com/watch?v=GqHLztqy0PU.
Session 41 & 42
Practice-11
Parallel Programming in Python
Web Link
https://www.youtube.com/watch?v=Ju4xkvFm07o.
Session 43 & 44
Practice-12
Multiprocessing in python.
Web Link
https://www.youtube.com/watch?v=Lu5LrKh1Zno.
Case Studies
Case Studies
Our Main Teachers
Professor ,School of Applied Sciences, Centurion University of Technology and Management, Paralakhemundi, Odisha, India. She has over 26 years of teaching and 8 years of research experiences. She has published 35 research articles in National and International refereed journals and has authored 01 book and 02 book chapters. She has produced 01 PhD scholar and […]
Dr. Tumbanath Samantara currently works as Associate Professor & HoD, Department of Applied Mathematics, , School of Applied Sciences, Centurion University of Technology and Management, (Bhubaneswar Campus) Odisha. He has completed his Ph.D. in the field of Fluid Dynamics. He has more than 10 years of research experience and 19 years of teaching experience. During […]
Assistant Professor ,School of Applied Sciences, Centurion University of Technology and Management, Paralakhemundi, Odisha, India. He has over 11 years of teaching experiences. He has published 12 research articles in National and International refereed journals . He is continue their P.hD in the field of Fuzzy Inventory Control Models.