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  • HPC Training
    Directory Visit OSC Supercomputing Support Networking Support Supercomputing HPC Support ARMSTRONG Client Portal Get a New OSC Account Request Additional Resources Request a Classroom Project FAQ Computing Environments Available Hardware Training Accounts Available Software Statewide Software Manuals Consult Notices Policies Related Links Statewide Users Group Blue Collar Computing Ralph Regula School of Computational Science BALE Interface Lab Batch Processing on OSC Systems Description Every year since its inception OSC has found the top ranked help topic to be Batch Processing Simply put How do I run a batch job This one day course will not only answer that question for all OSC machines but explain how a user can find out useful information about the batch system components First covered will be the basics batch file format job submission job status and return files The course will then list and detail additional options that allow the user to find out which queues are available for use queue parameters memory time limits queue permissions etc The course will also demonstrate how the PBS batch system can be used interactively yes it is possible Batch jobs to perform parallel processing will be discussed in detail Also useful environment variables related specifically to

    Original URL path: http://archive.osc.edu/supercomputing/training/batch/ (2013-06-13)
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  • HPC Training
    and Software Training Current Training and Events Educators Online OCS Lecture Series Press Releases Headlines Calendar of Events About OSC Media Kit OSC Media Contacts Staff Directory Visit OSC Supercomputing Support Networking Support Supercomputing HPC Support ARMSTRONG Client Portal Get a New OSC Account Request Additional Resources Request a Classroom Project FAQ Computing Environments Available Hardware Training Accounts Available Software Statewide Software Manuals Consult Notices Policies Related Links Statewide Users Group Blue Collar Computing Ralph Regula School of Computational Science BALE Interface Lab Linux Cluster Design and Administration Description This course gives an overview of how to design build and maintain Linux cluster systems to support scientific computing Attendees will learn design strategies and tradeoffs environmental considerations hardware and software configuration issues and suggestions for systems administration The course will focus on the shared NFS root installation method which OSC uses on its production and Cluster Ohio systems Topics covered will include Hardware and Facilities Base OS Installation and Configuration User Environment Management Resource Management and Scheduling Other Cluster and Grid Services Prerequisites Familiarity with UNIX Linux as well as basic concepts of distributed memory parallel computing is required Target Audience Anyone interested in setting up their own Linux cluster

    Original URL path: http://archive.osc.edu/supercomputing/training/bldbeo/ (2013-06-13)
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  • HPC Training
    Computational Chemistry Grid Summer Institute Young Women s Summer Institute HPC and Software Training Current Training and Events Educators Online OCS Lecture Series Press Releases Headlines Calendar of Events About OSC Media Kit OSC Media Contacts Staff Directory Visit OSC Supercomputing Support Networking Support Supercomputing HPC Support ARMSTRONG Client Portal Get a New OSC Account Request Additional Resources Request a Classroom Project FAQ Computing Environments Available Hardware Training Accounts Available Software Statewide Software Manuals Consult Notices Policies Related Links Statewide Users Group Blue Collar Computing Ralph Regula School of Computational Science BALE Interface Lab Using the Mass Storage Environment at OSC Description OSC has recently installed an extensive set of storage resources to replace its current mass storage server This collection of storage will allow OSC users to do considerably more data intensive computing than previous capabilities would allow The goal of this course is to show OSC users the capabilities of the new mass storage environment and how these capabilities could impact their research This workshop will be presented in two half day parts Part 1 Core Storage Services Introduction to Storage Area Networks IBM SANFS Overview Comparison with Previous Mass Storage System Irix DMF NFS Quota and Backup

    Original URL path: http://archive.osc.edu/supercomputing/training/mss/ (2013-06-13)
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  • HPC Training
    Visit OSC Supercomputing Support Networking Support Supercomputing HPC Support ARMSTRONG Client Portal Get a New OSC Account Request Additional Resources Request a Classroom Project FAQ Computing Environments Available Hardware Training Accounts Available Software Statewide Software Manuals Consult Notices Policies Related Links Statewide Users Group Blue Collar Computing Ralph Regula School of Computational Science BALE Interface Lab Parallel I O Techniques Description This course is intended as an introduction to parallel input output techniques As the sophistication of parallel applications increases I O is now often the greatest performance bottleneck especially for applications dealing with very large datasets Furthermore modern parallel architectures are increasingly designed with parallelism in their I O subsystems as well as in their processor memory interconnect network The course will consist of four major sections The first section will introduce the concept of parallel I O and describe how it can be implemented in hardware The second section will describe several very simple approaches to parallel I O as well as why these approaches may not be suitable for very large datasets The third section will discuss the MPI 2 I O interface which is the de facto standard parallel I O API The final section will

    Original URL path: http://archive.osc.edu/supercomputing/training/pario/ (2013-06-13)
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  • HPC Training
    Client Portal Get a New OSC Account Request Additional Resources Request a Classroom Project FAQ Computing Environments Available Hardware Training Accounts Available Software Statewide Software Manuals Consult Notices Policies Related Links Statewide Users Group Blue Collar Computing Ralph Regula School of Computational Science BALE Interface Lab I O Approaches for Data Intensive Computing Description As both computing power and storage capacity increase scientists are able to generate and store simulation results at an unprecedented rate These increases in capability and capacity can easily lead to situations in which researchers produce data faster than they can analyze it This can be exacerbated by home grown data file formats which may be tied to a particular platform or programming language Furthermore some applications data access patterns may lend themselves to more sophisticated storage services such as relational databases parallel file systems or hierarchical storage management This workshop will cover techniques for storing simulation data in formats that are portable language independent self documenting and easily annotated Special emphasis will be placed upon approaches which are highly scalable or exhibit high performance for common usage patterns Topics covered will include Low level I O APIs POSIX I O Extensions I O Middleware Hierarchical

    Original URL path: http://archive.osc.edu/supercomputing/training/dataintensive/index.shtml (2013-06-13)
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  • HPC Training
    OSC Account Request Additional Resources Request a Classroom Project FAQ Computing Environments Available Hardware Training Accounts Available Software Statewide Software Manuals Consult Notices Policies Related Links Statewide Users Group Blue Collar Computing Ralph Regula School of Computational Science BALE Interface Lab Performance Tuning Techniques For current training offerings and registration information please visit https armstrong osc edu events upcoming php Description This two day course demonstrates several techniques for improving the performance of applications on multicore and cluster systems such as OSC s Glenn Opteron cluster These techniques involve taking advantage of features common to most modern microprocessors including multi level caches and multiple pipelined functional units as well as parallelism within and across nodes Topics covered in the course will include Day One Overview and Single Processor Performance Overview of HPC Architectures OSC Glenn system o Some terminology Practical simple tips for improved performance on Glenn Single processor performance measurement and analysis tools Timing Compiler reports Profiling Hardware performance counters Processor and memory architecture Processor architecture features Hierarchical memory and caching Single processor performance tuning techniques Inlining Loop Optimization Memory Optimization Floating point behavior Optimized math libraries Day Two Multicore and Parallel Performance Parallel performance measurement and analysis tools

    Original URL path: http://archive.osc.edu/supercomputing/training/performancetuningtech/index.shtml (2013-06-13)
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  • HPC Training
    Visit OSC Supercomputing Support Networking Support Supercomputing HPC Support ARMSTRONG Client Portal Get a New OSC Account Request Additional Resources Request a Classroom Project FAQ Computing Environments Available Hardware Training Accounts Available Software Statewide Software Manuals Consult Notices Policies Related Links Statewide Users Group Blue Collar Computing Ralph Regula School of Computational Science BALE Interface Lab Performance Tuning Techniques for Multi core Architectures Description This two day course demonstrates several techniques for improving the performance of applications on multi core systems such as OSC s Glenn Opteron cluster These techniques involve taking advantage of features common to most modern microprocessors including multi level caches and multiple pipelined functional units as well as parallelism within and across nodes Topics covered in the course will include Day One Single Processor Performance Single processor performance measurement and analysis tools Timing Compiler reports Profiling Hardware performance counters Processor and memory architecture Processor architecture features Hierarchical memory and caching Single processor performance tuning techniques Inlining Loop Optimization Memory Optimization Floating point behavior Optimized math libraries Day Two Multi core and Parallel Performance Parallel performance measurement and analysis tools Timing Profiling Threaded performance Threaded programming interfaces Common threaded performance bottlenecks Message passing performance Message passing programming

    Original URL path: http://archive.osc.edu/supercomputing/training/perftunmic/ (2013-06-13)
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  • HPC Training
    Online OCS Lecture Series Press Releases Headlines Calendar of Events About OSC Media Kit OSC Media Contacts Staff Directory Visit OSC Supercomputing Support Networking Support Supercomputing HPC Support ARMSTRONG Client Portal Get a New OSC Account Request Additional Resources Request a Classroom Project FAQ Computing Environments Available Hardware Training Accounts Available Software Statewide Software Manuals Consult Notices Policies Related Links Statewide Users Group Blue Collar Computing Ralph Regula School of Computational Science BALE Interface Lab Software Development Tools For current training offerings and registration information please visit https armstrong osc edu events upcoming php Description This workshop focuses on developing large software projects As software code bases grow larger and are distributed into many files it becomes more difficult if not impossible to keep track of each change These software projects may involve a single individual or a group of researchers and can become quite complex Software is available to assist researchers in the development and maintenance of their projects The primary topic areas of this course include batch scripts as well as compiling debugging and version control of source code on Linux and Unix systems Examples of code in a number of programming languages will be available in hands on labs however this course is not intended to teach any particular language Rather the focus is on tools to manage and simplify the development and maintenance of large complex software projects Material covered in this workshop will also be valuable to researchers wanting to configure and install open source software packages The workshop will be taught by several OSC staff members over two days The different sections are taught as independent modules and individuals may choose to attend the individual sections Day One am Automated building and management through Makefiles Day One pm Performance Tuning and Parallel Processing Day

    Original URL path: http://archive.osc.edu/supercomputing/training/tools/ (2013-06-13)
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