Material Detail

18.337J Parallel Computing (MIT)

This is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers. It has a hands-on emphasis on understanding the realities and myths of what is possible on the world's fastest machines. We will make prominent use of the Julia Language software project.

Keywords:: parallel Python, parallel Matlab, virtualization, multigrid, mesh generation, sparse linear algebra, ocwc, parallel programming paradigms, Computation, wavelets, partitioning, Very High Level Languages, applications oriented architecture, Computer Design and Engineering, Applied Mathematics, Fourier transforms, data parallel systems, vector processors, MPI, caches, Star-P, fast-multipole, Theory of Computation, oec, Julia programming language, graphics processors, Algorithms and Data Structures, dense linear algebra, N-body problems, distributed parallel execution, cloud computing, VHLLs, Linear Algebra

Disciplines:

Mathematics and Statistics / Mathematics

More...

Go to Material

Bookmark / Add to Course ePortfolio

Create a Learning Exercise

Add Accessibility Information

Rate

Add a Comment

Quality

Selected For Peer Review
User Rating
Comments
Learning Exercises
Bookmark Collections (4) Bookmark Collections
Course ePortfolios
Accessibility Info

Report Broken Link
Report as Inappropriate

More about this material

Material Type:: Online Course
Date Added to MERLOT:: August 6, 2014
Date Modified in MERLOT:: August 7, 2025
Author:: Prof. Alan Edelman
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed
Technical Format:: Website

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States