Parallel Computing | IIT Delhi Online Course

IIT Delhi

Explore the fundamentals of parallel computing with this comprehensive online course from IIT Delhi. Gain hands-on experience and learn from expert faculty.

University Courses

Introduction

This course provides an introduction to the fundamental concepts and techniques of parallel computing. It covers topics such as parallel architectures, programming models, algorithms, and performance analysis. The course aims to equip students with the knowledge and skills to design and implement efficient parallel applications.

Highlights

Covers a wide range of parallel computing concepts and techniques
Includes hands-on programming exercises and projects
Taught by experienced faculty from the Indian Institute of Technology Delhi
Offered through the NPTEL (National Programme on Technology Enhanced Learning) platform

Recommendation

This course is recommended for students, researchers, and professionals interested in learning about parallel computing and its applications. It is particularly useful for those working in fields such as high-performance computing, scientific computing, data analytics, and machine learning.

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Great Ideas in Computer Architecture | Machine Structures | UC Berkeley

University CoursesC

Explore fundamental concepts in computer architecture, including C and assembly programming, caches, performance measurement, and parallelism. Gain valuable skills for computer science and engineering.

Computation Structures | Digital Systems Design | Hardware-Software Intersection

University CoursesComputer Architecture

Explore the fundamentals of computation structures with MIT's 6.004 course, covering digital system architecture, hardware-software integration, and contemporary software structures.

Introduction to the Internet: Architecture and Protocols | CS 168 - UC Berkeley

University Courses

Comprehensive course on the fundamental design principles and architecture of the Internet, covering key protocols and technologies. Ideal for students interested in networking and internet infrastructure.

Systems Programming | C Language | UNIX/Linux

University CoursesC

Gain a deep understanding of system programming and develop skills to write high-performance, low-level software like web servers and multiplayer internet games.

Distributed Systems | CS 425 - Univ of Illinois, Urbana-Champaign

University CoursesComputer ScienceDistributed Systems

Comprehensive course covering fundamental concepts in distributed systems, including vector clocks, consensus, and Paxos. Taught by experienced professor Indranil Gupta.

Cloud Computing | Cornell University CS 5412

University CoursesCloud ComputingDistributed Systems

Explore the technology of cloud computing, including cloud architecture, scalability, and security. Taught by industry expert Ken Birman.

Computer Architecture | CSCI 360 | CUNY Hunter College

University CoursesComputer ArchitectureGPU Programming

Dive into advanced computer architecture topics like cache design, memory hierarchies, and multiprocessors, including in-depth coverage of GPUs and hands-on CUDA programming.

Parallel Computing | CSCI 493.75 - CUNY Hunter College

University CoursesCC++

Dive into parallel algorithms and programming with C/C++, MPI, and OpenMP. Gain hands-on experience and understand the principles of high-performance computing.

Programming for Performance | ECE 459 - University of Waterloo

University CoursesC++GPU Programming

Learn advanced techniques for profiling, rearchitecting, and implementing high-performance software systems, including parallelization, multithreading, async I/O, and distributed computing.