Revision as of 17:14, 3 February 2012

This wiki page is about part II of SciNet's Scientific Computing course.
Information on part I can be found on the page Scientific Software Development Course
Information about part II can be found on the page Numerical Tools for Physical Scientists (course)

Syllabus

The third part of SciNet's for-credit Scientific Computing course (Phys 2109 modular course credit / Ast 3100 mini-course credit) will start on February 10 2012.

Whereas the first part of the course focused on the basics of best practice for writing maintainable, modular scientific programs, and the second part focused on common techniques and algorithms, such as floating point computations, validation+verification, visualization, ODEs, monte Carlo, linear algebra and fast fourier transforms, the third part focusses on high performance computing and parallel programming.

At the end of minicourse III, "High Performance Scientific Computing", students will leave with a basic understanding of distributed and shared memory parallel programming paradigms, and will be able apply these in their own code.

The course will require 4-6 hours each week spent on reading and homework.

Required Software

Each lecture will have a hands-on component; students are strongly encouraged to bring laptops. (Contact us if this will be a problem). Windows, Mac, or Linux laptops are all fine, but some software will have to be installed *before* the first lecture:

On windows laptops only, Cygwin (http://www.cygwin.com/) will have to be installed ; ensure that development tools (gcc/g++/gfortran, gdb), git, the X environment (Xorg), and ssh are installed.

Hands-on parts will be done on SciNet's GPC cluster. For those who don't have a SciNet account yet, the instructions can be found at https://wiki.scinet.utoronto.ca/wiki/index.php/Essentials#Accounts .

Course outline

The classes will cover the material as follows; homework will be due by email at Thursday noon on the day before the following class.

Lecture 9: Introduction to Parallel Programming and OpenMP

Lecture 10: MPI- part 1

Lecture 11: OpenMP - part 2

Lecture 12: MPI - part 2

Evaluation will be based entirely on the four home works, with equal weighting given to each.

Location and Dates

The location has changed because of the number of students that signed up. This required to shift the time slot by 30 minutes.

Fridays 10:00am - 12:00am

Feb 10, 17, Mar 2, 9.

Bahen Centre for Information Technology

40 St. George Street

Room 1230

Office Hours

The instructors will have office hours on Monday and Wednesday afternoons, 3pm-4pm, starting the week of the first class.

Location: SciNet offices at 256 McCaul, 2nd Floor.

Mon, Feb 13, 3pm-4pm
Wed, Feb 15, 3pm-4pm
Mon, Feb 27, 3pm-4pm
Wed, Feb 29, 3pm-4pm
Mon, Mar 5, 3pm-4pm
Wed, Mar 7, 3pm-4pm
Mon, Mar 12, 3pm-4pm
Wed, Mar 14, 3pm-4pm

Materials from Lectures

Homeworks

TBA

Links

Git

Git cheat sheet from Git Tower: http://www.git-tower.com/files/cheatsheet/Git_Cheat_Sheet_grey.pdf

Python

Enthought python distribution: http://www.enthought.com/products/edudownload.php
Intro to python from software carpentry: http://software-carpentry.org/4_0/python
Tutorial on matplotlib: http://conference.scipy.org/scipy2011/tutorials.php#jonathan

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 Evaluation will be based entirely on the four home works, with equal weighting given to each.
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 The location has changed because of the number of students that signed up. This required to shift the time slot by 30 minutes.

Difference between revisions of "High Performance Scientific Computing"