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2002
McMaster University
Hamilton, ON

2003
The University of Western Ontario
London, ON

2004
Wilfrid Laurier University
Waterloo, ON

2005
York University
Toronto, ON

2006
University of Waterloo
Waterloo, ON

2007
McMaster University
Hamilton, ON

2008
York University
Toronto, ON

2009
Sheridan Institute
Oakville, ON

What's New

Course materials now available
June 2, 2010

Course materials are now available online. Follow the links on the programme page to see notes and code examples.

Attendees' comments
June 2, 2010

See what other people think and add your comments here

A message to all attendees
May 28, 2010

On Monday, May 31, attendees are to meet at SCAET (S-Wing) atrium at 8:30 a.m. More...

Download the Attendee's Guide.

Subsidized accommodation full
May 27, 2010

The subsidized accommodation for students has been all exhausted. Attendees who need accommodation should make arrangement on their own.

Website recovered from slowness
May 23, 2010

The web site was extremely slow in the past couple of days due to a technical problem with SHARCNET's web server. Those who were unable to register or failed to complete the registration should try again now.

Subsidized accommidation to close
May 13, 2010

Students who wish to apply for subsidized accommodation should now contact the organizers for available spaces BEFORE registration.

Registration online
May 6, 2010

Students who wish to get subsidy on accommodation should register early.

Poster (PDF)

Parallel Computing in Matlab

Description

Matlab is a program that was originally designed to simplify the implementation of numerical linear algebra routines. It has since grown into something much bigger, and it is used to implement numerical algorithms for a wide range of applications. The parallel computing toolbox will enable users to solve computationally and data-intensive problems in a multiprocessor computing environment. This includes high-level parallel data constructs for parallelism, parallel numerical algorithms based on ScaLAPACK, and MPI-based functionality that allows users to more easily design and implement parallel programs without the need to handle low-level details. The tutorials move from the simple examples and lead to more complicated examples, including the fundamentals of parallel programming with Matlab in the SHARCNET environment.

Instructor: Jemmy Hu, SHARCNET, University of Waterloo.

Prerequisites: No prior knowledge of Matlab is assumed.