Difference between revisions of "Knowledge Base: Tutorials and Manuals"
Jump to navigation
Jump to search
| Line 41: | Line 41: | ||
* [[Media:SciNet_Tutorial.pdf|SciNet User Tutorial]] | * [[Media:SciNet_Tutorial.pdf|SciNet User Tutorial]] | ||
* [[Media:Introscinet.pdf|Intro to SciNet]], SciNet, Sept 2010 | * [[Media:Introscinet.pdf|Intro to SciNet]], SciNet, Sept 2010 | ||
| + | * SciNet Resources: [http://support.scinet.utoronto.ca/CourseVideo/PPPcourse/Monday_Morning_SciNet_Resources/Monday_Morning_SciNet_Resources.mp4 Video]/ [[Media:Monday_Morning_SciNet_Resources.pdf|Slides]] | ||
* [[Essentials]] | * [[Essentials]] | ||
* [[FAQ|Frequenty asked questions]] | * [[FAQ|Frequenty asked questions]] | ||
Revision as of 11:08, 3 June 2011
|
Manuals Intel (GPC):
IBM (TCS):
Scheduler (Adaptive Computing/Cluster Resources) DDT (Allinea) |
Training material
For upcoming classes, see our Courses website!
SciNet Basics
- SciNet User Tutorial
- Intro to SciNet, SciNet, Sept 2010
- SciNet Resources: Video/ Slides
- Essentials
- Frequenty asked questions
- Ssh
- GPC quickstart
- TCS quickstart
- ARC/GPU quickstart
- ARC/Cell quickstart
- 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
- Modern Fortran Course (1 day), SciNet, 19 Apr 2011
- Scientific C++ Course (1 day), 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 Programming Course (5 days), SciNet, May 2011
- Parallel Computing for Computational Fluid Dynamics (CFD), SciNet, 23 March 2011
- Intro to Practical Parallel Programming (1 day), SciNet, 22 Sept 2010:
- Parallel Scientific Computing Workshop (5 days), 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
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: