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Nptel: Parallel Computing - Video Course

This document outlines the syllabus for a parallel computing course offered through NPTEL. The course provides an introduction to parallel programming and does not require prior experience. It involves hands-on parallel programming on compute clusters, multi-core CPUs, and GPUs using tools like OpenMP, MPI, and CUDA. The course consists of 34 lectures covering topics such as parallel architectures, programming paradigms, algorithms, memory consistency, and synchronization techniques.

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Anu Priya
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339 views3 pages

Nptel: Parallel Computing - Video Course

This document outlines the syllabus for a parallel computing course offered through NPTEL. The course provides an introduction to parallel programming and does not require prior experience. It involves hands-on parallel programming on compute clusters, multi-core CPUs, and GPUs using tools like OpenMP, MPI, and CUDA. The course consists of 34 lectures covering topics such as parallel architectures, programming paradigms, algorithms, memory consistency, and synchronization techniques.

Uploaded by

Anu Priya
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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NPTEL Syllabus

Parallel Computing - Video course

COURSE OUTLINE

This is a first course in parallel programming and does not require any previous parallel
computing experience. Data structures and Operating Systems are required. L-T-P: 3-0-2.

With the growing number of cores on a chip, programming them efficiently has become an
indispensable knowledge for the future. Modern Parallel Programming is a hands-on NPTEL
course involving significant parallel programming on compute-clusters, multi-core CPUs
and massive-core GPUs.
http://nptel.iitm.ac.in

COURSE DETAIL Computer


Science and
Module/Lecture Details Topics
Engineering

Module 1: Parallel Computing


Coordinators:
Dr. Subodh Kumar
Lecture 1 Introduction Department of Computer
Science & EngineeringIIT
Delhi
Lecture 2 Parallel Programming Paradigms

Lecture 3 Parallel Architecture

Lecture 4 Parallel Architecture (case studies)

Lecture 5 Open MP

Lecture 6 Open MP(Contd.)

Lecture 7 Open MP(Contd..)

Lecture 8 Open MP&PRAM Model of Computation

Lecture 9 PRAM

Lecture 10 Models of Parallel Computation, Complexity

Lecture 11 Memory Consistency


Lecture 12 Memory Consistency & Performance Issues

Lecture 13 Parallel Program Design

Lecture 14 Shared Memory & Message Passing

Lecture 15 MPI

Lecture 16 MPI(Contd.)

Lecture 17 MPI(Contd..)

Lecture 18 Algorithmic Techniques

Lecture 19 Algorithmic Techniques(Contd.)

Lecture 20 Algorithmic Techniques(Contd..)

Lecture 21 CUDA

Lecture 22 CUDA(Contd.)

Lecture 23 CUDA(Contd..)

Lecture 24 CUDA(Contd...)

Lecture 25 CUDA(Contd....)

Lecture 26 CUDA(Contd.....)

Lecture 27 CUDA(Contd......)

Lecture 28 Algorithms,Merging & Sorting

Lecture 29 Algorithms,Merging & Sorting(Contd.)

Lecture 30 Algorithms,Merging & Sorting(Contd..)

Lecture 31 Algorithms,Merging & Sorting(Contd...)


Lecture 32 Algorithms,Merging & Sorting(Contd....)

Lecture 33 Lower Bounds Lock Free Synchronization,Load Stealing

Lecture 34 Lock Free Synchronization,Graph Algorithms

References:

1. Parallel Programming in C with MPI and OpenMP by M J Quinn


2. Introduction to Parallel Computing by Ananth Grama, George Karypis, Vipin Kumar,
and Anshul Gupta.
3. Programming Massively Parallel Processors by D. Kirk and W. Hwu

A joint venture by IISc and IITs, funded by MHRD, Govt of India http://nptel.iitm.ac.in

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