Difference between revisions of "Knowledge Base: Tutorials and Manuals"
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==Visualization== | ==Visualization== | ||
+ | * [[Using Paraview]] | ||
* [http://scienceillustrated.ca Science Illustrated:] Two-day symposium on Visualizing Science, Feb 2011 | * [http://scienceillustrated.ca Science Illustrated:] Two-day symposium on Visualizing Science, Feb 2011 | ||
− | * [[ | + | * [http://www.kmdi.utoronto.ca/story/2011/03/si-science-illustrated-symposium-success Videos of the talks given at Science Illustrated] (recorded by [http://www.kmdi.utoronto.ca KMDI] at [http://www.utoronto.ca UoT]): |
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=94ff5cd5-be6e-4fc6-9be6-dd2222342bcd Opening remarks] by Paul Young | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=4255c34e-15e7-4b24-ba99-78f5c8fa4381 Information Visualization and the Myth of Information Overload] by Christopher Collins | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=adcf02bf-16cb-46cc-8cdc-1a65e9071d6b Beyond Basic Visualization (Seeing Your Data Through New Eyes)] by Ramses Van Zon | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=47baf346-3599-4fa3-9b10-6a58faa6b33c Network Visualization & Analysis] by Igor Jurisica | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=7e754a2e-7be5-476e-bb54-37def37bc07e Simulation and Visualization of Blood Flow] by David Steinman | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=d7622587-2c31-49c1-99d7-f0f16c078801 Scientific Visualizations: Does the Science Matter?] by Thomas Lucas | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=9963c637-6840-454f-a57f-9a1be6456616 Panel Discussion: How can visualization impact public perception of science?] Panelists: Jay Ingram, Peter Calamai, Reni Barlow, Hooley McLaughlin | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=88e50cff-db9b-4c71-b10d-781fec60a2c0 How Info Graphics are Created for the Mainstream Media] by Peter Calamai | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=3897e2a3-1fda-42be-ab78-edbab090fd9e Design Boot Camp] by Graham Huber | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=4c27ed76-7292-407e-83a6-814e1461eccd So You Have 40 Terabytes of Data: Dealing With Large Datasets] by Jonathan Dursi | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=7d49c845-3937-44e2-a300-9b8ffe57a857 Visualizing Colliding Black Holes] by Herald Pfeiffer | ||
+ | ** [http://itube.ischool.utoronto.ca/Panopto/Pages/Viewer/Default.aspx?id=7d7e4803-39cd-4c8e-a443-bc2a7b1b3c28 Closing remarks] by Mubdi Rahman | ||
==Applications== | ==Applications== | ||
{{:Knowledge Base: Applications}} | {{:Knowledge Base: Applications}} | ||
* See also [[User Codes]] | * See also [[User Codes]] |
Revision as of 11:35, 4 March 2011
Manuals Intel (GPC):
IBM (TCS):
Scheduler (Adaptive Computing/Cluster Resources) |
Training material
For upcoming classes, see our Courses website!
SciNet Basics
- Essentials
- SciNet User Tutorial
- Intro to SciNet, SciNet, Sept 2010
- Frequenty asked questions
- Ssh
- GPC quickstart guide
- TCS quickstart guide
- Important .bashrc guidelines
- Software and libraries modules system
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
- 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
- Oct 2010 SNUG TechTalk: Version Control
- Software Carpentry Resources
Parallel Programming
- 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 (Seeing Your Data Through New Eyes) 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
- Panel Discussion: 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
- So You Have 40 Terabytes of Data: Dealing With 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: