Difference between revisions of "Knowledge Base: Tutorials and Manuals"

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* [[Media:SciNet_Tutorial.pdf|SciNet User Tutorial]]
 
* [[Media:SciNet_Tutorial.pdf|SciNet User Tutorial]]
 
* [[Media:Introscinet.pdf|Intro to SciNet]], SciNet, July 2012
 
* [[Media:Introscinet.pdf|Intro to SciNet]], SciNet, July 2012
* Linux Command Line: A Primer (June 2012) [[Media:SS_IntroToShell.pdf|Slides,]] [[Media:SS_IntroToShell.tgz|Files]]
 
* Introduction to the Linux Shell, SciNet, Mar 2012: [[Media:IntroToShell.pdf|Slides]] and [[Media:Shell-data.tgz|Data files]]
 
 
* 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]]  
 
* 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]]
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* [[Media:SNUGlocalsetup.pdf|User-space modules and packages (April 2011 SNUG TechTalk)]]
 
* [[Media:SNUGlocalsetup.pdf|User-space modules and packages (April 2011 SNUG TechTalk)]]
 
* [[Media:HPSS_rationale.pdf|HPSS - SciNet's storage capacity expansion]]
 
* [[Media:HPSS_rationale.pdf|HPSS - SciNet's storage capacity expansion]]
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 +
==Linux==
 +
* Linux Command Line: A Primer (June 2012) [[Media:SS_IntroToShell.pdf|Slides,]] [[Media:SS_IntroToShell.tgz|Files]]
 +
* Introduction to the Linux Shell, SciNet, Mar 2012: [[Media:IntroToShell.pdf|Slides]] and [[Media:Shell-data.tgz|Data files]]
  
 
==Batch job management==
 
==Batch job management==

Revision as of 12:23, 17 October 2012

Manuals

Intel compilers and libraries (GPC)

IBM compilers and libraries (TCS/P7)

PGI compilers (ARC)

Scheduler (Adaptive Computing/Cluster Resources)

DDT Debugger (Allinea)

Training material

For upcoming classes, see our Courses website!

SciNet Basics

Linux

Batch job management

Programming

General

Fortran

C++

C

Perl

Python

R

Lua

Parallel Programming

GPU Computing


Performance Tuning

Debugging

Math libraries (BLAS, LAPACK, FFT)

I/O

Infiniband Networking

Visualization

Applications

Currently, information on the following applications is available: