Parameter searches and the batch system
|
|
- Angel Scott
- 5 years ago
- Views:
Transcription
1 Parameter searches and the batch system Scientific Computing Group Parameter searches and the batch system Scientific Computing Group 1st of October
2 Contents 1 Parameter searches 2 Test programs 3 Job arrays 4 Environment variables 5 Batch script generating program Parameter searches and the batch system Scientific Computing Group 1st of October
3 Parameter searches lots of program runs each with different parameters individual runs take in the order of hours or days a.k.a. parameter study e.g. Monte Carlo simulation; multivarate function optimisation Batch system options: job arrays (#PBS -t) shell script with environment variables (#PBS -v) custom script or program which generates the required batch scripts and optionally submits them more info: $ man qsub Parameter searches and the batch system Scientific Computing Group 1st of October
4 Types of parameter searches Jobs using random values as input Very easy, just run lots of jobs e.g. to run 1000 jobs: qsub -t simulation.qsub Search over one or more specific parameter values Use a job array to initialise the parameter values Use environment variables to set the parameter values Use a script to create batch jobs with the desired parameter values Parameter searches and the batch system Scientific Computing Group 1st of October
5 Test program: random_num.py 1 #!/usr/bin/env python 2 3 import sys,random 4 5 # print a random number, optionally with seed 6 if len(sys.argv) == 2: 7 seed = float(sys.argv[1]) 8 random.seed(seed) 9 random_num = random.random() 0 print "seed = %d, random number = %g" % (seed, random_num) 1 else: 2 random.seed() 3 random_num = random.random() 4 print "random number = %g" % (random_num) Parameter searches and the batch system Scientific Computing Group 1st of October
6 Test program: vol_calc.py 1 #!/usr/bin/env python 2 3 import sys 4 5 # calculate the volume of the given input parameters 6 xwidth = float(sys.argv[1]) 7 ywidth = float(sys.argv[2]) 8 zwidth = float(sys.argv[3]) 9 0 vol = xwidth*ywidth*zwidth 1 2 print "Volume = %g" % vol Parameter searches and the batch system Scientific Computing Group 1st of October
7 Job arrays Run an array of jobs from one batch script. Advantages: one batch script; many jobs; simple job submission Disadvantages: inflexible; only one parameter can be varied; floating point values not so easily used Job arrays use the -t PBS option. In a script or on the command line. Ranges and/or individual values can be specified. e.g. #PBS -t 1,10, or #PBS -t Produces jobs with the environment variable PBS_ARRAYID containing the relevant array id. The PBS_ARRAYID variable would contain the values 1, 10, and 50 through 100 (inclusive), each of which appearing in a different batch job automatically generated by the batch system. Parameter searches and the batch system Scientific Computing Group 1st of October
8 Job arrays: random number example 1 #!/bin/bash -login 2 #PBS -N job_array_random_example 3 #PBS -M ich@meine.mail.adresse.de 4 #PBS -m ae 5 #PBS -j oe 6 #PBS -l mem=2gb 7 #PBS -l nodes=1:ppn=1 8 #PBS -l walltime=00:30:00 9 #PBS -t 1,10,50, # show which computer the job ran on 12 echo "Job ran on:" $(hostname) # change to working directory 15 cd $PBS_O_WORKDIR # load the relevant modules 18 module load python # set the seed with the array id 21 SEED=$PBS_ARRAYID # run the simulation with a seed 24 python random_num.py $SEED # run the simulation without a predefined seed 27 python random_num.py Parameter searches and the batch system Scientific Computing Group 1st of October
9 Job arrays: volume calculator example 1 #!/bin/bash -login 2 #PBS -N job_array_volume_example 3 #PBS -M ich@meine.mail.adresse.de 4 #PBS -m ae 5 #PBS -j oe 6 #PBS -l mem=2gb 7 #PBS -l nodes=1:ppn=1 8 #PBS -l walltime=00:30:00 9 #PBS -t 1,10,50, # show which computer the job ran on 12 echo "Job ran on:" $(hostname) # change to working directory 15 cd $PBS_O_WORKDIR # load the relevant modules 18 module load python # range over the xwidth values 21 XWIDTH=$PBS_ARRAYID 22 YWIDTH=10 23 ZWIDTH=25 24 echo "XWIDTH = $XWIDTH" 25 echo "YWIDTH = $YWIDTH" 26 echo "ZWIDTH = $ZWIDTH" # run the simulation 29 python vol_calc.py $XWIDTH $YWIDTH $ZWIDTH Parameter searches and the batch system Scientific Computing Group 1st of October
10 Environment variables Pass parameters to script via environment variables. Advantages: one batch script; control multiple variables Disadvantages: batch jobs submitted with script; job submission more complex than with job arrays Use the #PBS -v <variable_name_list> option. 1 $ export XWIDTH=10 2 $ export YWIDTH=5 3 $ for ZWIDTH in $(seq 1 5) 4 do 5 export ZWIDTH 6 qsub env_var_example.qsub 7 done Parameter searches and the batch system Scientific Computing Group 1st of October
11 Environment variables: example 1 #!/bin/bash -login 2 #PBS -N job_array_example 3 #PBS -M ich@meine.mail.adresse.de 4 #PBS -m ae 5 #PBS -j oe 6 #PBS -l mem=2gb 7 #PBS -l nodes=1:ppn=1 8 #PBS -l walltime=00:30:00 9 #PBS -v XWIDTH,YWIDTH,ZWIDTH # show which computer the job ran on 12 echo "Job ran on:" $(hostname) # change to working directory 15 cd $PBS_O_WORKDIR # load the relevant modules 18 module load python # print the variables just to see what was used 21 echo "XWIDTH = $XWIDTH" 22 echo "YWIDTH = $YWIDTH" 23 echo "ZWIDTH = $ZWIDTH" # run the simulation 26 python vol_calc.py $XWIDTH $YWIDTH $ZWIDTH Parameter searches and the batch system Scientific Computing Group 1st of October
12 Batch script generating program Write a program or script which generates separate batch scripts each containing the required input parameters. Advantages: most flexible option; user has complete control; floating point values can be used directly Disadvantages: very easy to make mistakes; more programming experience required Parameter searches and the batch system Scientific Computing Group 1st of October
13 Batch script generating program: example 1 #!/usr/bin/env perl 2 3 use warnings; 4 use strict; 5 6 my $xwidth = 2; 7 my $zwidth = 3.5; 8 = qw( ); 9 for my $ywidth ) { 10 my $batch_script_name = "prog_generated_example_$ywidth.qsub"; 11 open my $fh, ">", $batch_script_name or die "$!"; 12 print $fh get_batch_script_text($xwidth, $ywidth, $zwidth); 13 close $fh; # optionally submit the script 16 #qx{qsub $batch_script_name}; 17 } # subroutine to return the required batch script text 20 sub get_batch_script_text { 21 my $xwidth = shift; 22 my $ywidth = shift; 23 my $zwidth = shift; my $batch_script_text = <<"EOF"; 26 #!/bin/bash -login 27 #PBS -N job_array_example 28 #PBS -M ich\@meine.mail.adresse.de 29 #PBS -m ae 30 #PBS -j oe 31 #PBS -l mem=2gb 32 #PBS -l nodes=1:ppn=1 33 #PBS -l walltime=00:30: # show which computer the job ran on 36 echo "Job ran on:" \$(hostname) # change to working directory 39 cd \$PBS_O_WORKDIR # load the relevant modules 42 module load python # run the simulation 45 python vol_calc.py $xwidth $ywidth $zwidth 46 EOF 47 return $batch_script_text; 48 } Parameter searches and the batch system Scientific Computing Group 1st of October
14 Batch script generating program: example 1 #!/usr/bin/env perl 2 3 use warnings; 4 use strict; 5 6 my $xwidth = 2; 7 my $zwidth = 3.5; 8 = qw( ); 9 for my $ywidth ) { 10 my $batch_script_name = "prog_generated_example_$ywidth.qsub"; 11 open my $fh, ">", $batch_script_name or die "$!"; 12 print $fh get_batch_script_text($xwidth, $ywidth, $zwidth); 13 close $fh; # optionally submit the script 16 #qx{qsub $batch_script_name}; 17 } # subroutine to return the required batch script text 20 sub get_batch_script_text { 21 my $xwidth = shift; 22 my $ywidth = shift; 23 my $zwidth = shift; my $batch_script_text = <<"EOF"; 26 #!/bin/bash -login 27 #PBS -N job_array_example 28 #PBS -M ich\@meine.mail.adresse.de 29 #PBS -m ae 30 #PBS -j oe 31 #PBS -l mem=2gb 32 #PBS -l nodes=1:ppn=1 33 #PBS -l walltime=00:30: # show which computer the job ran on 36 echo "Job ran on:" \$(hostname) # change to working directory 39 cd \$PBS_O_WORKDIR # load the relevant modules 42 module load python # run the simulation 45 python vol_calc.py $xwidth $ywidth $zwidth 46 EOF 47 return $batch_script_text; 48 } Parameter searches and the batch system Scientific Computing Group 1st of October
15 Don t run too many jobs! WARNING: running thousands of jobs can overload the batch system. Consequently, your jobs might not run at all. Use the advice in these slides with utmost caution! Parameter searches and the batch system Scientific Computing Group 1st of October
16 Thanks! Thank you! :-) Parameter searches and the batch system Scientific Computing Group 1st of October
User Guide of High Performance Computing Cluster in School of Physics
User Guide of High Performance Computing Cluster in School of Physics Prepared by Sue Yang (xue.yang@sydney.edu.au) This document aims at helping users to quickly log into the cluster, set up the software
More informationBatch Systems. Running calculations on HPC resources
Batch Systems Running calculations on HPC resources Outline What is a batch system? How do I interact with the batch system Job submission scripts Interactive jobs Common batch systems Converting between
More informationNBIC TechTrack PBS Tutorial. by Marcel Kempenaar, NBIC Bioinformatics Research Support group, University Medical Center Groningen
NBIC TechTrack PBS Tutorial by Marcel Kempenaar, NBIC Bioinformatics Research Support group, University Medical Center Groningen 1 NBIC PBS Tutorial This part is an introduction to clusters and the PBS
More informationPBS Pro Documentation
Introduction Most jobs will require greater resources than are available on individual nodes. All jobs must be scheduled via the batch job system. The batch job system in use is PBS Pro. Jobs are submitted
More informationShell Programming. Introduction to Linux. Peter Ruprecht Research CU Boulder
Introduction to Linux Shell Programming Peter Ruprecht peter.ruprecht@colorado.edu www.rc.colorado.edu Downloadable Materials Slides and examples available at https://github.com/researchcomputing/ Final_Tutorials/
More informationQuick Start Guide. by Burak Himmetoglu. Supercomputing Consultant. Enterprise Technology Services & Center for Scientific Computing
Quick Start Guide by Burak Himmetoglu Supercomputing Consultant Enterprise Technology Services & Center for Scientific Computing E-mail: bhimmetoglu@ucsb.edu Linux/Unix basic commands Basic command structure:
More informationNBIC TechTrack PBS Tutorial
NBIC TechTrack PBS Tutorial by Marcel Kempenaar, NBIC Bioinformatics Research Support group, University Medical Center Groningen Visit our webpage at: http://www.nbic.nl/support/brs 1 NBIC PBS Tutorial
More informationQuick Start Guide. by Burak Himmetoglu. Supercomputing Consultant. Enterprise Technology Services & Center for Scientific Computing
Quick Start Guide by Burak Himmetoglu Supercomputing Consultant Enterprise Technology Services & Center for Scientific Computing E-mail: bhimmetoglu@ucsb.edu Contents User access, logging in Linux/Unix
More informationInstalling and running COMSOL 4.3a on a Linux cluster COMSOL. All rights reserved.
Installing and running COMSOL 4.3a on a Linux cluster 2012 COMSOL. All rights reserved. Introduction This quick guide explains how to install and operate COMSOL Multiphysics 4.3a on a Linux cluster. It
More informationRunning Jobs, Submission Scripts, Modules
9/17/15 Running Jobs, Submission Scripts, Modules 16,384 cores total of about 21,000 cores today Infiniband interconnect >3PB fast, high-availability, storage GPGPUs Large memory nodes (512GB to 1TB of
More informationGuillimin HPC Users Meeting October 20, 2016
Guillimin HPC Users Meeting October 20, 2016 guillimin@calculquebec.ca McGill University / Calcul Québec / Compute Canada Montréal, QC Canada Please be kind to your fellow user meeting attendees Limit
More informationPBS Pro and Ansys Examples
PBS Pro and Ansys Examples Introduction This document contains a number of different types of examples of using Ansys on the HPC, listed below. 1. Single-node Ansys Job 2. Single-node CFX Job 3. Single-node
More informationUsing Sapelo2 Cluster at the GACRC
Using Sapelo2 Cluster at the GACRC New User Training Workshop Georgia Advanced Computing Resource Center (GACRC) EITS/University of Georgia Zhuofei Hou zhuofei@uga.edu 1 Outline GACRC Sapelo2 Cluster Diagram
More informationGenome Assembly. 2 Sept. Groups. Wiki. Job files Read cleaning Other cleaning Genome Assembly
2 Sept Groups Group 5 was down to 3 people so I merged it into the other groups Group 1 is now 6 people anyone want to change? The initial drafter is not the official leader use any management structure
More informationGuillimin HPC Users Meeting March 17, 2016
Guillimin HPC Users Meeting March 17, 2016 guillimin@calculquebec.ca McGill University / Calcul Québec / Compute Canada Montréal, QC Canada Outline Compute Canada News System Status Software Updates Training
More informationUF Research Computing: Overview and Running STATA
UF : Overview and Running STATA www.rc.ufl.edu Mission Improve opportunities for research and scholarship Improve competitiveness in securing external funding Matt Gitzendanner magitz@ufl.edu Provide high-performance
More informationPython on GACRC Computing Resources
Python on GACRC Computing Resources Georgia Advanced Computing Resource Center EITS/University of Georgia Zhuofei Hou, zhuofei@uga.edu 1 Outline GACRC Python Overview Python on Clusters Python Packages
More informationCloud Computing Research Cloud: NeCTAR Commercial Cloud: Amazon AWS, Microsoft Azure, etc. Seed money for exploration of new cloud technologies
High Performance Computing (HPC) As a service: NCI Raijin Katana local HPC cluster Cloud Computing Research Cloud: NeCTAR Commercial Cloud: Amazon AWS, Microsoft Azure, etc. Seed money for exploration
More informationComputing with the Moore Cluster
Computing with the Moore Cluster Edward Walter An overview of data management and job processing in the Moore compute cluster. Overview Getting access to the cluster Data management Submitting jobs (MPI
More informationProgramming introduction part I:
Programming introduction part I: Perl, Unix/Linux and using the BlueHive cluster Bio472- Spring 2014 Amanda Larracuente Text editor Syntax coloring Recognize several languages Line numbers Free! Mac/Windows
More informationBatch Systems & Parallel Application Launchers Running your jobs on an HPC machine
Batch Systems & Parallel Application Launchers Running your jobs on an HPC machine Partners Funding Reusing this material This work is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike
More informationBatch Systems. Running your jobs on an HPC machine
Batch Systems Running your jobs on an HPC machine Reusing this material This work is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License. http://creativecommons.org/licenses/by-nc-sa/4.0/deed.en_us
More informationQuick Guide for the Torque Cluster Manager
Quick Guide for the Torque Cluster Manager Introduction: One of the main purposes of the Aries Cluster is to accommodate especially long-running programs. Users who run long jobs (which take hours or days
More informationOur new HPC-Cluster An overview
Our new HPC-Cluster An overview Christian Hagen Universität Regensburg Regensburg, 15.05.2009 Outline 1 Layout 2 Hardware 3 Software 4 Getting an account 5 Compiling 6 Queueing system 7 Parallelization
More informationMigrating from Zcluster to Sapelo
GACRC User Quick Guide: Migrating from Zcluster to Sapelo The GACRC Staff Version 1.0 8/4/17 1 Discussion Points I. Request Sapelo User Account II. III. IV. Systems Transfer Files Configure Software Environment
More informationAnswers to Federal Reserve Questions. Training for University of Richmond
Answers to Federal Reserve Questions Training for University of Richmond 2 Agenda Cluster Overview Software Modules PBS/Torque Ganglia ACT Utils 3 Cluster overview Systems switch ipmi switch 1x head node
More informationCluster Tools Batch Queue Job Control W. Trevor King May 20, 2008
Cluster Tools Batch Queue Job Control W. Trevor King May 20, 2008 1 Submitting jobs You can submit jobs to the batch queue for later proccessing with qsub. Batch queueing can get pretty fancy, so qsub
More informationWorking on the NewRiver Cluster
Working on the NewRiver Cluster CMDA3634: Computer Science Foundations for Computational Modeling and Data Analytics 22 February 2018 NewRiver is a computing cluster provided by Virginia Tech s Advanced
More informationShell Scripting. With Applications to HPC. Edmund Sumbar Copyright 2007 University of Alberta. All rights reserved
AICT High Performance Computing Workshop With Applications to HPC Edmund Sumbar research.support@ualberta.ca Copyright 2007 University of Alberta. All rights reserved High performance computing environment
More informationIntroduction to HPC Resources and Linux
Introduction to HPC Resources and Linux Burak Himmetoglu Enterprise Technology Services & Center for Scientific Computing e-mail: bhimmetoglu@ucsb.edu Paul Weakliem California Nanosystems Institute & Center
More informationOpenPBS Users Manual
How to Write a PBS Batch Script OpenPBS Users Manual PBS scripts are rather simple. An MPI example for user your-user-name: Example: MPI Code PBS -N a_name_for_my_parallel_job PBS -l nodes=7,walltime=1:00:00
More informationICS-ACI System Basics
ICS-ACI System Basics Adam W. Lavely, Ph.D. Fall 2017 Slides available: goo.gl/ss9itf awl5173 ICS@PSU 1 Contents 1 Overview 2 HPC Overview 3 Getting Started on ACI 4 Moving On awl5173 ICS@PSU 2 Contents
More informationShifter on Blue Waters
Shifter on Blue Waters Why Containers? Your Computer Another Computer (Supercomputer) Application Application software libraries System libraries software libraries System libraries Why Containers? Your
More informationHow to run applications on Aziz supercomputer. Mohammad Rafi System Administrator Fujitsu Technology Solutions
How to run applications on Aziz supercomputer Mohammad Rafi System Administrator Fujitsu Technology Solutions Agenda Overview Compute Nodes Storage Infrastructure Servers Cluster Stack Environment Modules
More informationA Brief Introduction to The Center for Advanced Computing
A Brief Introduction to The Center for Advanced Computing February 8, 2007 Hardware 376 Opteron nodes, over 890 cores Gigabit networking, Myrinet networking, Infiniband networking soon Hardware: nyx nyx
More informationUsing ITaP clusters for large scale statistical analysis with R. Doug Crabill Purdue University
Using ITaP clusters for large scale statistical analysis with R Doug Crabill Purdue University Topics Running multiple R jobs on departmental Linux servers serially, and in parallel Cluster concepts and
More informationHigh Performance Beowulf Cluster Environment User Manual
High Performance Beowulf Cluster Environment User Manual Version 3.1c 2 This guide is intended for cluster users who want a quick introduction to the Compusys Beowulf Cluster Environment. It explains how
More informationLogging in to the CRAY
Logging in to the CRAY 1. Open Terminal Cray Hostname: cray2.colostate.edu Cray IP address: 129.82.103.183 On a Mac 2. type ssh username@cray2.colostate.edu where username is your account name 3. enter
More informationAdvanced Scripting Using PBS Environment Variables
Advanced Scripting Using PBS Environment Variables Your job submission script has a number of environment variables that can be used to help you write some more advanced scripts. These variables can make
More informationEffective Use of CCV Resources
Effective Use of CCV Resources Mark Howison User Services & Support This talk... Assumes you have some familiarity with a Unix shell Provides examples and best practices for typical usage of CCV systems
More informationThe JANUS Computing Environment
Research Computing UNIVERSITY OF COLORADO The JANUS Computing Environment Monte Lunacek monte.lunacek@colorado.edu rc-help@colorado.edu What is JANUS? November, 2011 1,368 Compute nodes 16,416 processors
More informationA Brief Introduction to The Center for Advanced Computing
A Brief Introduction to The Center for Advanced Computing November 10, 2009 Outline 1 Resources Hardware Software 2 Mechanics: Access Transferring files and data to and from the clusters Logging into the
More informationIntroduction to High Performance Computing (HPC) Resources at GACRC
Introduction to High Performance Computing (HPC) Resources at GACRC Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer zhuofei@uga.edu 1 Outline GACRC? High Performance
More informationIntroduction to High Performance Computing (HPC) Resources at GACRC
Introduction to High Performance Computing (HPC) Resources at GACRC Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer zhuofei@uga.edu Outline What is GACRC? Concept
More informationIntroduction to GALILEO
Introduction to GALILEO Parallel & production environment Mirko Cestari m.cestari@cineca.it Alessandro Marani a.marani@cineca.it Domenico Guida d.guida@cineca.it Maurizio Cremonesi m.cremonesi@cineca.it
More informationIntroduction to Discovery.
Introduction to Discovery http://discovery.dartmouth.edu The Discovery Cluster 2 Agenda What is a cluster and why use it Overview of computer hardware in cluster Help Available to Discovery Users Logging
More informationSubmitting batch jobs Slurm on ecgate Solutions to the practicals
Submitting batch jobs Slurm on ecgate Solutions to the practicals Xavi Abellan xavier.abellan@ecmwf.int User Support Section Com Intro 2015 Submitting batch jobs ECMWF 2015 Slide 1 Practical 1: Basic job
More informationGetting started with the CEES Grid
Getting started with the CEES Grid October, 2013 CEES HPC Manager: Dennis Michael, dennis@stanford.edu, 723-2014, Mitchell Building room 415. Please see our web site at http://cees.stanford.edu. Account
More informationIntel Manycore Testing Lab (MTL) - Linux Getting Started Guide
Intel Manycore Testing Lab (MTL) - Linux Getting Started Guide Introduction What are the intended uses of the MTL? The MTL is prioritized for supporting the Intel Academic Community for the testing, validation
More informationThe DTU HPC system. and how to use TopOpt in PETSc on a HPC system, visualize and 3D print results.
The DTU HPC system and how to use TopOpt in PETSc on a HPC system, visualize and 3D print results. Niels Aage Department of Mechanical Engineering Technical University of Denmark Email: naage@mek.dtu.dk
More informationGACRC User Training: Migrating from Zcluster to Sapelo
GACRC User Training: Migrating from Zcluster to Sapelo The GACRC Staff Version 1.0 8/28/2017 GACRC Zcluster-Sapelo Migrating Training 1 Discussion Points I. Request Sapelo User Account II. III. IV. Systems
More informationPlease include the following sentence in any works using center resources.
The TCU High-Performance Computing Center The TCU HPCC currently maintains a cluster environment hpcl1.chm.tcu.edu. Work on a second cluster environment is underway. This document details using hpcl1.
More informationWorkshop Set up. Workshop website: Workshop project set up account at my.osc.edu PZS0724 Nq7sRoNrWnFuLtBm
Workshop Set up Workshop website: https://khill42.github.io/osc_introhpc/ Workshop project set up account at my.osc.edu PZS0724 Nq7sRoNrWnFuLtBm If you already have an OSC account, sign in to my.osc.edu
More informationA Hands-On Tutorial: RNA Sequencing Using High-Performance Computing
A Hands-On Tutorial: RNA Sequencing Using Computing February 11th and 12th, 2016 1st session (Thursday) Preliminaries: Linux, HPC, command line interface Using HPC: modules, queuing system Presented by:
More informationSharpen Exercise: Using HPC resources and running parallel applications
Sharpen Exercise: Using HPC resources and running parallel applications Andrew Turner, Dominic Sloan-Murphy, David Henty, Adrian Jackson Contents 1 Aims 2 2 Introduction 2 3 Instructions 3 3.1 Log into
More informationBefore We Start. Sign in hpcxx account slips Windows Users: Download PuTTY. Google PuTTY First result Save putty.exe to Desktop
Before We Start Sign in hpcxx account slips Windows Users: Download PuTTY Google PuTTY First result Save putty.exe to Desktop Research Computing at Virginia Tech Advanced Research Computing Compute Resources
More informationNew User Tutorial. OSU High Performance Computing Center
New User Tutorial OSU High Performance Computing Center TABLE OF CONTENTS Logging In... 3-5 Windows... 3-4 Linux... 4 Mac... 4-5 Changing Password... 5 Using Linux Commands... 6 File Systems... 7 File
More informationIntroduction to HPC Using the New Cluster at GACRC
Introduction to HPC Using the New Cluster at GACRC Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer zhuofei@uga.edu Outline What is GACRC? What is the new cluster
More informationImage Sharpening. Practical Introduction to HPC Exercise. Instructions for Cirrus Tier-2 System
Image Sharpening Practical Introduction to HPC Exercise Instructions for Cirrus Tier-2 System 2 1. Aims The aim of this exercise is to get you used to logging into an HPC resource, using the command line
More informationIntroduction to Discovery.
Introduction to Discovery http://discovery.dartmouth.edu The Discovery Cluster 2 Agenda What is a cluster and why use it Overview of computer hardware in cluster Help Available to Discovery Users Logging
More informationKnights Landing production environment on MARCONI
Knights Landing production environment on MARCONI Alessandro Marani - a.marani@cineca.it March 20th, 2017 Agenda In this presentation, we will discuss - How we interact with KNL environment on MARCONI
More informationBig Data Analytics at OSC
Big Data Analytics at OSC 04/05/2018 SUG Shameema Oottikkal Data Application Engineer Ohio SuperComputer Center email:soottikkal@osc.edu 1 Data Analytics at OSC Introduction: Data Analytical nodes OSC
More informationIntroduc)on to Hyades
Introduc)on to Hyades Shawfeng Dong Department of Astronomy & Astrophysics, UCSSC Hyades 1 Hardware Architecture 2 Accessing Hyades 3 Compu)ng Environment 4 Compiling Codes 5 Running Jobs 6 Visualiza)on
More informationUsing ISMLL Cluster. Tutorial Lec 5. Mohsan Jameel, Information Systems and Machine Learning Lab, University of Hildesheim
Using ISMLL Cluster Tutorial Lec 5 1 Agenda Hardware Useful command Submitting job 2 Computing Cluster http://www.admin-magazine.com/hpc/articles/building-an-hpc-cluster Any problem or query regarding
More informationIntroduction to Linux and Cluster Computing Environments for Bioinformatics
Introduction to Linux and Cluster Computing Environments for Bioinformatics Doug Crabill Senior Academic IT Specialist Department of Statistics Purdue University dgc@purdue.edu What you will learn Linux
More informationIntroduction to PICO Parallel & Production Enviroment
Introduction to PICO Parallel & Production Enviroment Mirko Cestari m.cestari@cineca.it Alessandro Marani a.marani@cineca.it Domenico Guida d.guida@cineca.it Nicola Spallanzani n.spallanzani@cineca.it
More informationPractical: a sample code
Practical: a sample code Alistair Hart Cray Exascale Research Initiative Europe 1 Aims The aim of this practical is to examine, compile and run a simple, pre-prepared OpenACC code The aims of this are:
More informationworker & atools training session
worker & atools training session Geert Jan Bex (geertjan.bex@uhasselt.be) License: this presentation is released under the Creative Commons, see http://creativecommons.org/publicdomain/zero/1.0/ 1 Introduction
More informationIntroduction to HPCC at MSU
Introduction to HPCC at MSU Chun-Min Chang Research Consultant Institute for Cyber-Enabled Research Download this presentation: https://wiki.hpcc.msu.edu/display/teac/2016-03-17+introduction+to+hpcc How
More informationNew High Performance Computing Cluster For Large Scale Multi-omics Data Analysis. 28 February 2018 (Wed) 2:30pm 3:30pm Seminar Room 1A, G/F
New High Performance Computing Cluster For Large Scale Multi-omics Data Analysis 28 February 2018 (Wed) 2:30pm 3:30pm Seminar Room 1A, G/F The Team (Bioinformatics & Information Technology) Eunice Kelvin
More informationQuality Control of Illumina Data at the Command Line
Quality Control of Illumina Data at the Command Line Quick UNIX Introduction: UNIX is an operating system like OSX or Windows. The interface between you and the UNIX OS is called the shell. There are a
More informationThe cluster system. Introduction 22th February Jan Saalbach Scientific Computing Group
The cluster system Introduction 22th February 2018 Jan Saalbach Scientific Computing Group cluster-help@luis.uni-hannover.de Contents 1 General information about the compute cluster 2 Available computing
More informationViglen NPACI Rocks. Getting Started and FAQ
Viglen NPACI Rocks Getting Started and FAQ Table of Contents Viglen NPACI Rocks...1 Getting Started...3 Powering up the machines:...3 Checking node status...4 Through web interface:...4 Adding users:...7
More informationCLE and How to. Jan Thorbecke
CLE and How to Start Your Application i Jan Thorbecke Scalable Software Architecture t 2 Scalable Software Architecture: Cray Linux Environment (CLE) Specialized ed Linux nodes Microkernel on Compute nodes,
More informationA Brief Introduction to The Center for Advanced Computing
A Brief Introduction to The Center for Advanced Computing May 1, 2006 Hardware 324 Opteron nodes, over 700 cores 105 Athlon nodes, 210 cores 64 Apple nodes, 128 cores Gigabit networking, Myrinet networking,
More informationPACE. Instructional Cluster Environment (ICE) Orientation. Research Scientist, PACE
PACE Instructional Cluster Environment (ICE) Orientation Mehmet (Memo) Belgin, PhD Research Scientist, PACE www.pace.gatech.edu What is PACE A Partnership for an Advanced Computing Environment Provides
More informationSharpen Exercise: Using HPC resources and running parallel applications
Sharpen Exercise: Using HPC resources and running parallel applications Contents 1 Aims 2 2 Introduction 2 3 Instructions 3 3.1 Log into ARCHER frontend nodes and run commands.... 3 3.2 Download and extract
More informationUBDA Platform User Gudie. 16 July P a g e 1
16 July 2018 P a g e 1 Revision History Version Date Prepared By Summary of Changes 1.0 Jul 16, 2018 Initial release P a g e 2 Table of Contents 1. Introduction... 4 2. Perform the test... 5 3 Job submission...
More information(7) Get the total energy from the output (1 Hartree = kcal/mol) and label the structure with the energy.
RUNNING GAUSSIAN ON THE RedHawk cluster computers: General Procedure: The general procedure is to prepare the input file on a PC using GausView, then transfer this file via WinSCP to the RedHawk cluster
More informationProgramming Techniques for Supercomputers. HPC RRZE University Erlangen-Nürnberg Sommersemester 2018
Programming Techniques for Supercomputers HPC Services @ RRZE University Erlangen-Nürnberg Sommersemester 2018 Outline Login to RRZE s Emmy cluster Basic environment Some guidelines First Assignment 2
More informationCerebro Quick Start Guide
Cerebro Quick Start Guide Overview of the system Cerebro consists of a total of 64 Ivy Bridge processors E5-4650 v2 with 10 cores each, 14 TB of memory and 24 TB of local disk. Table 1 shows the hardware
More informationGPU Cluster Usage Tutorial
GPU Cluster Usage Tutorial How to make caffe and enjoy tensorflow on Torque 2016 11 12 Yunfeng Wang 1 PBS and Torque PBS: Portable Batch System, computer software that performs job scheduling versions
More informationBackgrounding and Task Distribution In Batch Jobs
Backgrounding and Task Distribution In Batch Jobs James A. Lupo, Ph.D. Assist Dir Computational Enablement Louisiana State University jalupo@cct.lsu.edu 1/66 Overview Description of the Problem Environment
More informationRunning applications on the Cray XC30
Running applications on the Cray XC30 Running on compute nodes By default, users do not access compute nodes directly. Instead they launch jobs on compute nodes using one of three available modes: 1. Extreme
More informationComputing on Mio Data & Useful Commands
Computing on Mio Data & Useful Commands Timothy H. Kaiser, Ph.D. tkaiser@mines.edu Director - CSM High Performance Computing Director - Golden Energy Computing Organization http://inside.mines.edu/mio/tutorial/
More informationSimple examples how to run MPI program via PBS on Taurus HPC
Simple examples how to run MPI program via PBS on Taurus HPC MPI setup There's a number of MPI implementations install on the cluster. You can list them all issuing the following command: module avail/load/list/unload
More informationWorking with Shell Scripting. Daniel Balagué
Working with Shell Scripting Daniel Balagué Editing Text Files We offer many text editors in the HPC cluster. Command-Line Interface (CLI) editors: vi / vim nano (very intuitive and easy to use if you
More informationSlurm basics. Summer Kickstart June slide 1 of 49
Slurm basics Summer Kickstart 2017 June 2017 slide 1 of 49 Triton layers Triton is a powerful but complex machine. You have to consider: Connecting (ssh) Data storage (filesystems and Lustre) Resource
More informationRunning LAMMPS on CC servers at IITM
Running LAMMPS on CC servers at IITM Srihari Sundar September 9, 2016 This tutorial assumes prior knowledge about LAMMPS [2, 1] and deals with running LAMMPS scripts on the compute servers at the computer
More informationKaivos User Guide Getting a database account 2
Contents Kaivos User Guide 1 1. Getting a database account 2 2. MySQL client programs at CSC 2 2.1 Connecting your database..................................... 2 2.2 Setting default values for MySQL connection..........................
More informationIntroduction to CINECA Computer Environment
Introduction to CINECA Computer Environment Today you will learn... Basic commands for UNIX environment @ CINECA How to submitt your job to the PBS queueing system on Eurora Tutorial #1: Example: launch
More informationMinnesota Supercomputing Institute Regents of the University of Minnesota. All rights reserved.
Minnesota Supercomputing Institute Introduction to Job Submission and Scheduling Andrew Gustafson Interacting with MSI Systems Connecting to MSI SSH is the most reliable connection method Linux and Mac
More informationIntroduction to HPC Using the New Cluster at GACRC
Introduction to HPC Using the New Cluster at GACRC Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer zhuofei@uga.edu Outline What is GACRC? What is the new cluster
More informationGuillimin HPC Users Meeting March 16, 2017
Guillimin HPC Users Meeting March 16, 2017 guillimin@calculquebec.ca McGill University / Calcul Québec / Compute Canada Montréal, QC Canada Please be kind to your fellow user meeting attendees Limit to
More informationHigh Performance Compu2ng Using Sapelo Cluster
High Performance Compu2ng Using Sapelo Cluster Georgia Advanced Compu2ng Resource Center EITS/UGA Zhuofei Hou, Training Advisor zhuofei@uga.edu 1 Outline GACRC What is High Performance Compu2ng (HPC) Sapelo
More informationIntroduction to Linux Basics Part II. Georgia Advanced Computing Resource Center University of Georgia Suchitra Pakala
Introduction to Linux Basics Part II 1 Georgia Advanced Computing Resource Center University of Georgia Suchitra Pakala pakala@uga.edu 2 Variables in Shell HOW DOES LINUX WORK? Shell Arithmetic I/O and
More informationShell Scripting. Jeremy Sanders. October 2011
Shell Scripting Jeremy Sanders October 2011 1 Introduction If you use your computer for repetitive tasks you will find scripting invaluable (one of the advantages of a command-line interface). Basically
More informationPACE. Instructional Cluster Environment (ICE) Orientation. Mehmet (Memo) Belgin, PhD Research Scientist, PACE
PACE Instructional Cluster Environment (ICE) Orientation Mehmet (Memo) Belgin, PhD www.pace.gatech.edu Research Scientist, PACE What is PACE A Partnership for an Advanced Computing Environment Provides
More informationIntroduction to Discovery.
Introduction to Discovery http://discovery.dartmouth.edu March 2014 The Discovery Cluster 2 Agenda Resource overview Logging on to the cluster with ssh Transferring files to and from the cluster The Environment
More informationBackgrounding and Task Distribution In Batch Jobs
Backgrounding and Task Distribution In Batch Jobs James A. Lupo, Ph.D. Assist Dir Computational Enablement Louisiana State University jalupo@cct.lsu.edu 1/76 Overview Description of the Problem Environment
More information