This course is organized by the Swedish e-Science Education program (SeSE).

Credits: 5hp

The course consists of three parts - self reading, lectures and labs, and project preparation. The lectures and the labs will be given at the Department Information Technology, Uppsala University.

Review material for Week 47's self study:

Course materials (will be updated currently during the course)

• Carl Nettelblad:
• Ali Dorostkar:
• Maya Neytcheva:

Information on the project to be done in order to pass the course with full credit (to be added).

Detailed time schedule

Date	Topic(s)	Time	Location	Lecturer
Nov 23	General description of the course	9:15-9:30	tba	MN
	Introduction. High performance models and measures	9:30-12:00	tba	MN
	Models, measures, cont.	13:15-15:00	tba	MN
Nov 24	C++11, not C with classes anymore. Including templates, lambdas, smart pointers. Library use including the Standard Template Library, Boost, and interaction with Python.	9:15-12:00	tba	CN
	Computer lab and 'Hands-on' session: Create a C++ library called from Python using Cython and Boost Python.	13:15-17:00	tba	CN
Nov 25	Discussion of the experience from the last computer lab	9:15-9:30	tba	CN
	Experience in using software packages to perform large scale numerical simulations: dealii, Trilinos, Paralution, Armadillo	9:30-12:00	tba	AD
	Computer lab and 'Hands-on' session:	13:15-17:00	tba	AD
Nov 26	Discussion of the experience from the last computer lab	9:15-9:30	tba	AD
	Design patterns and modular software - designing, building and maintaining. git and cmake	9:30-12:00	tba	CN
	Computer lab and 'Hands-on' session: Extending our Python library with source code management and a build system with external dependencies.	13:15-17:00	tba	CN
Nov 27	Discussion of the experience from the last computer lab	9:15-9:30	tba	CN
	Parallel debuggers. Performance analysis tools. Interactive environments.	9:30-12:00	tba	MN
	Computer lab and 'Hands-on' session:	13:15-15:00	tba	MN

Recommended sources:

1. Stroustrup, B. The C++ Programming Language (4th edition!), Addison-Wesley.
2. W. Bangerth, G. Kanschat, and R. Hartmann, deal.II differential equations analysis library, http://www.dealii.org.
3. M. A. Heroux and J. M. Willenbring, Trilinos Users Guide, http://trilinos.sandia.gov, Technical Report SAND2003-2952, Sandia National Laboratories, 2003. Matrix Methods in Data Mining and Pattern Recognition. SIAM, Philadelphia, PA, Philadelphia, PA, USA, 2007.
4. Armadillo C++ Linear Algebra Library, http://arma.sourceforge.net/
5. D. Lurkarski Paralution project, http://www.paralution.com
6. BOOST C++ Libraries, http://www.boost.org

Organization issues:
Some instructions how to find us in Uppsala are to be found here .
Suggested hotel to book rooms in Uppsala: Hotel Uppsala .