Difference between revisions of "Knowledge Base: Tutorials and Manuals"
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**[[ Parallel_Scientific_Computing_-_Aug_09 | Slides ]] | **[[ Parallel_Scientific_Computing_-_Aug_09 | Slides ]] | ||
**[http://www.cita.utoronto.ca/~ljdursi/PSP/ Video] | **[http://www.cita.utoronto.ca/~ljdursi/PSP/ Video] | ||
| − | * [http://www.vscse.org/ | + | * [http://www.vscse.org/ Virtual School for CSE] Web courses (Jul/Aug 2010): |
** Petascale programming environments and tools | ** Petascale programming environments and tools | ||
** Big data for science | ** Big data for science | ||
Revision as of 22:28, 9 May 2011
|
Manuals Intel (GPC):
IBM (TCS):
Scheduler (Adaptive Computing/Cluster Resources) |
Training material
For upcoming classes, see our Courses website!
SciNet Basics
- SciNet User Tutorial
- Intro to SciNet, SciNet, Sept 2010
- Essentials
- Frequenty asked questions
- Ssh
- GPC quickstart guide
- TCS quickstart guide
- Important .bashrc guidelines
- Software and libraries
- Installing your own modules
- User-space modules and packages (April 2011 SNUG TechTalk)
Batch job management
- Job Monitoring on SciNet and Job Efficiency
- Wallclock time
- Checkpoints
- Signals
- Moab
- Serial Jobs
- Ramdisk
- Moab workload manager
- Moab commands
- Torque resource manager
- Torque PBS commands
- Parallel environment
- Cluster information center (with error codes)
- LoadLeveler: using & administering
Programming
- One-day Modern Fortran Course, SciNet, 19 Apr 2011
- One-day Scientific C++ Course, SciNet, 15 March 2011
- Intel C & C++ compiler
- Intel Fortran compiler
- IBM AIX Workshop, SciNet, Nov 2008
- IBM MPI Workshop, SciNet, Feb 2009
- IBM Compiler Workshop, SciNet, Feb 2009
- IBM C compiler, language, optimization
- IBM C++ compiler, language, optimization
- IBM Fortran compiler language, optimization
- IBM UPC compiler, language, optimization, library, user's guide, programmer's guide
- Perl
- Python
- R Statistical Package
- Oct 2010 SNUG TechTalk: Version Control
- Software Carpentry Resources
Parallel Programming
- Parallel Computing for CFD, SciNet, 23 March 2011: Slides, Source Code
- One-day Intro to Practical Parallel Programming, SciNet, 22 Sept 2010:
- Five-day Parallel Scientific Computing Workshop, SciNet, Aug 2009:
- Virtual School for CSE Web courses (Jul/Aug 2010):
- Petascale programming environments and tools
- Big data for science
- Proven algorithmic techniques for many-core processors
- LLNL MPI Tutorial: This was the basis for the MPI workshop at SciNet.
- Intel MPI library
- GPC MPI Versions
- Co-array Fortran on the GPC
Performance Tuning
- Introduction To Performance
- Performance tools for GPC and TCS
- Dec 2010 SNUG TechTalk: Profiling Tools on GPC
- High Performance Computing Book
Online version of an older O'Reilly book which covers the basics of (mostly serial) programming for performance. Covers the most important issues today very clearly. - How to Write Fast Numerical Code
Good introduction to thinking about performance. - Performance tuning
Debugging
- TechTalk: Debuggers & Parallel Debugging on SciNet - gdb, ddd, padb, SciNet User Group Meeting, Nov 2010
Math libraries (BLAS, LAPACK, FFT)
- Intel Compiler Floating Point Consistency
- Math Kernel Library (MKL)
- Math Kernel Library's Vector Statistical Library
- Math Kernel Library link line advisor
($MKLPATH → ${MKLPATH} in makefiles) - ESSL high performance math library V4 (V3)
- Parallel ESSL high performance math library V3.3
I/O
- Data management
- Intro to Parallel I/O, SciNet, Oct 6th, 2010:
- Sept 2010 SNUG TechTalk: Parallel File System and IO
- File System and I/O dos and don'ts
GPU Computing
Visualization
- Using Paraview
- Science Illustrated: Two-day symposium on Visualizing Science, Feb 2011
- Videos of the talks given at Science Illustrated (recorded by KMDI at UoT):
- Opening remarks by Paul Young
- Information Visualization and the Myth of Information Overload by Christopher Collins
- Beyond Basic Visualization by Ramses Van Zon
- Network Visualization & Analysis by Igor Jurisica
- Simulation and Visualization of Blood Flow by David Steinman
- Scientific Visualizations: Does the Science Matter? by Thomas Lucas
- How can visualization impact public perception of science? Panelists: Jay Ingram, Peter Calamai, Reni Barlow, Hooley McLaughlin
- How Info Graphics are Created for the Mainstream Media by Peter Calamai
- Design Boot Camp by Graham Huber
- Visualization Large Datasets by Jonathan Dursi
- Visualizing Colliding Black Holes by Herald Pfeiffer
- Closing remarks by Mubdi Rahman
Applications
Currently, information on the following applications is available: