Cloud Computing Research Cloud: NeCTAR Commercial Cloud: Amazon AWS, Microsoft Azure, etc. Seed money for exploration of new cloud technologies

Size: px
Start display at page:

Download "Cloud Computing Research Cloud: NeCTAR Commercial Cloud: Amazon AWS, Microsoft Azure, etc. Seed money for exploration of new cloud technologies"

Transcription

1 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 of new cloud technologies Research Data Help with Data Management Assistance with data moves, storage, planning ResTech@unsw.edu.au

2 Training 40+ courses run on campus, including: Introduction into Linux Getting started with HPC Parallel Programming Introduction to programming with Julia Programming courses for Python, R, Matlab, Excel Consulting Help with developing / optimizing code Help getting started on Raijin and Katana ResTech@unsw.edu.au

3 HPC Systems Raijin Katana Owner NCI (ANU) RTS (UNSW) Size Almost 4500 nodes Almost 200 nodes Access UNSW, Intersect and NCMAS. Project Storage 37 PB 1 PB Free for small users. Buy-in for groups. Node Interconnects Up to 100Gb/s Up to 10Gb/s Max Walltime 48 hours 200 hours Best for Large parallel jobs, complicated models. Bioscience and genomics.

4 NCI Resources User and project management inc. software at Mancini / MyNCI ( Resources (compute and storage) are provided at the project level. NCMAS Open: 3rd Sept, Close: 19th Oct, Announced: 11th Dec UNSW Scheme Request at any time but annual application in November, Announced: 19th Dec 2Gb home, 72Gb short per project (can be increased by NCI), /g/data and MDSS available on request to UNSW. Copyq is used for moving data around. Useful commands lquota How much storage are you using nci_account List queues including how much compute have you used nf_limits -P project -n ncpus -q queue Show memory, walltime, etc. limits

5 Your first steps Use the module avail command to see what is installed. Then module help and module load to get information and to load the module. Start with an interactive job. It is ok to request extra memory and CPU cores whilst you are figuring things out but you need to remember to trim the resources as you get more confident. Take note of what you are doing. You may want to open a text editor and copy your commands into it. That includes commands within your application. If you have a lot of similar jobs, Array Job on Katana or at NCI Have a look at the web site(s). NCI. It has everything! Instructions, software lists, queues, status, etc. - Katana

6 Job Script Options Raijin Katana Project Code #PBS -P a99 N/A Job Queue #PBS -q normal Automatic Memory #PBS -l mem=300gb #PBS -l vmem=300gb Nodes and CPU Cores #PBS -l ncpus=4 #PBS l nodes=1:ppn=3 Job Walltime #PBS l walltime=12:00:00 #PBS l walltime=12:00:00 Start in Current Dir. cd $PBS_O_WORKDIR cd $PBS_O_WORKDIR when job finishes #PBS -m ae #PBS -M user@example.com #PBS -m ae #PBS -M user@example.com

7 This is a Katana job script This is a sample job script. The same #PBS options can be used for interactive jobs.

8 Job Queues Katana automatic according to walltime 12 Hours Any node in the cluster 48 hours Shared nodes plus your nodes 100 hours Shared nodes plus your nodes 200 hours Your nodes NCI You need to specify the queue that you want to use. The easy way to list is to type nci_account. Visit All nodes within each queue are identical. No production runs in Express queue. Special queues for big memory, KNL, GPU, etc. Check the queue status.

9 Nodes, CPU cores and Memory Katana - nodes=1:ppn=1 1 CPU core on 1 compute node Katana - nodes=1:ppn=12 12 CPU cores on 1 compute node Katana - nodes=2:ppn=12 12 CPU cores on 2 separate compute nodes (Don t use unless you know what MPI is). If you do, speak to us. At NCI selecting number of nodes happens automatically via ncpus. DO NOT SPECIFY NODES. Make sure you know how many cores the nodes in the queue have. Read the module help to see if there is a default number of cores (often called CPUs). Set the number of cores to match your job request. Sometimes it is better to have 1 CPU core for overhead. There is a full list of compute nodes on the web sites. You need to leave some space for the operating system. (i.e. avoid 96, 128, 144, 256, etc.). Request 2Gb less so that the operating system has some capacity.

10 Once a Job has Run THE END OF JOB IS IMPORTANT! READ IT! How long did your job run for? If your job is less than 20 minutes combine calculations. If your job has multiple stages then make each stage a different job and chain them together. The easiest way is to have a qsub command at the end of the job but there are many ways of chaining jobs. Speak to us! How much memory did you use? Can you reduce the amount of memory that you request next time? How much CPU time did you use? If ppn=6 and cputime = 2 * walltime then don t bother with more than 1 CPU core. If 1 core and cputime is less than half walltime then consider local scratch. Global = big files. How do I figure out how my job is working (memory, CPU, I/O, etc.)? - NCI offers courses

11 NCI Helpful Links User account and project management Wiki page HelpDesk or/and Job History Raijin Live Status Software License Status

12 Contacts Data Management and ResData: Outreach Librarians HPC, cloud, specialist storage questions: Research Technology Services or OneDrive, Data Archive, Research Active storage questions: UNSW IT , Data Classification issues: Data Governance Research Integrity issues: Your faculty Research Integrity Advisor

13 Questions

User Guide of High Performance Computing Cluster in School of Physics

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 information

MIGRATING TO THE SHARED COMPUTING CLUSTER (SCC) SCV Staff Boston University Scientific Computing and Visualization

MIGRATING TO THE SHARED COMPUTING CLUSTER (SCC) SCV Staff Boston University Scientific Computing and Visualization MIGRATING TO THE SHARED COMPUTING CLUSTER (SCC) SCV Staff Boston University Scientific Computing and Visualization 2 Glenn Bresnahan Director, SCV MGHPCC Buy-in Program Kadin Tseng HPC Programmer/Consultant

More information

Parameter searches and the batch system

Parameter searches and the batch system Parameter searches and the batch system Scientific Computing Group css@rrzn.uni-hannover.de Parameter searches and the batch system Scientific Computing Group 1st of October 2012 1 Contents 1 Parameter

More information

Batch Systems. Running calculations on HPC resources

Batch 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 information

Genome Assembly. 2 Sept. Groups. Wiki. Job files Read cleaning Other cleaning Genome Assembly

Genome 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 information

Knights Landing production environment on MARCONI

Knights 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 information

UF Research Computing: Overview and Running STATA

UF 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 information

Introduction to High Performance Computing (HPC) Resources at GACRC

Introduction 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 information

Introduction to HPC Resources and Linux

Introduction 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 information

Using Sapelo2 Cluster at the GACRC

Using 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 information

Introduction to High Performance Computing (HPC) Resources at GACRC

Introduction 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 information

How 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 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 information

Our Workshop Environment

Our Workshop Environment Our Workshop Environment John Urbanic Parallel Computing Scientist Pittsburgh Supercomputing Center Copyright 2015 Our Environment Today Your laptops or workstations: only used for portal access Blue Waters

More information

Guillimin HPC Users Meeting March 17, 2016

Guillimin 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 information

Martinos Center Compute Cluster

Martinos Center Compute Cluster Why-N-How: Intro to Launchpad 8 September 2016 Lee Tirrell Laboratory for Computational Neuroimaging Adapted from slides by Jon Kaiser 1. Intro 2. Using launchpad 3. Summary 4. Appendix: Miscellaneous

More information

Workshop Set up. Workshop website: Workshop project set up account at my.osc.edu PZS0724 Nq7sRoNrWnFuLtBm

Workshop 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 information

Python on GACRC Computing Resources

Python 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 information

NBIC 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 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 information

Migrating from Zcluster to Sapelo

Migrating 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 information

Our new HPC-Cluster An overview

Our 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 information

Introduction to Discovery.

Introduction 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 information

Introduction to HPC Using the New Cluster at GACRC

Introduction 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 information

Introduction to Discovery.

Introduction 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 information

NBIC TechTrack PBS Tutorial

NBIC 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 information

Introduc)on to Hyades

Introduc)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 information

Guillimin HPC Users Meeting October 20, 2016

Guillimin 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 information

Quick 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 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 information

Guillimin HPC Users Meeting March 16, 2017

Guillimin 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 information

Image 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 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 information

Cheese Cluster Training

Cheese Cluster Training Cheese Cluster Training The Biostatistics Computer Committee (BCC) Anjishnu Banerjee Dan Eastwood Chris Edwards Michael Martens Rodney Sparapani Sergey Tarima and The Research Computing Center (RCC) Matthew

More information

Introduction to Linux and High Performance Computing

Introduction to Linux and High Performance Computing Research Technology Services, DVC Research Infrastructure Introduction to Linux and High Performance Computing John Zaitseff September 2018 Outline of this course Computer architecture: laptops/desktops,

More information

Running Jobs, Submission Scripts, Modules

Running 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 information

Cerebro Quick Start Guide

Cerebro 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 information

Introduction to HPC Using the New Cluster at GACRC

Introduction 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 1 Outline What is GACRC? What is the new cluster

More information

CS/Math 471: Intro. to Scientific Computing

CS/Math 471: Intro. to Scientific Computing CS/Math 471: Intro. to Scientific Computing Getting Started with High Performance Computing Matthew Fricke, PhD Center for Advanced Research Computing Table of contents 1. The Center for Advanced Research

More information

GACRC User Training: Migrating from Zcluster to Sapelo

GACRC 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 information

HPC Architectures. Types of resource currently in use

HPC Architectures. Types of resource currently in use HPC Architectures Types of resource currently in use 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 information

PBS Pro and Ansys Examples

PBS 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 information

Quick 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 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 information

PBS Pro Documentation

PBS 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 information

Running in parallel. Total number of cores available after hyper threading (virtual cores)

Running in parallel. Total number of cores available after hyper threading (virtual cores) First at all, to know how many processors/cores you have available in your computer, type in the terminal: $> lscpu The output for this particular workstation is the following: Architecture: x86_64 CPU

More information

Working on the NewRiver Cluster

Working 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 information

Before 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 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 information

Job Management on LONI and LSU HPC clusters

Job Management on LONI and LSU HPC clusters Job Management on LONI and LSU HPC clusters Le Yan HPC Consultant User Services @ LONI Outline Overview Batch queuing system Job queues on LONI clusters Basic commands The Cluster Environment Multiple

More information

Name Department/Research Area Have you used the Linux command line?

Name Department/Research Area Have you used the Linux command line? Please log in with HawkID (IOWA domain) Macs are available at stations as marked To switch between the Windows and the Mac systems, press scroll lock twice 9/27/2018 1 Ben Rogers ITS-Research Services

More information

Genius Quick Start Guide

Genius Quick Start Guide Genius Quick Start Guide Overview of the system Genius consists of a total of 116 nodes with 2 Skylake Xeon Gold 6140 processors. Each with 18 cores, at least 192GB of memory and 800 GB of local SSD disk.

More information

Introduction to HPC Using the New Cluster at GACRC

Introduction 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 information

UoW HPC Quick Start. Information Technology Services University of Wollongong. ( Last updated on October 10, 2011)

UoW HPC Quick Start. Information Technology Services University of Wollongong. ( Last updated on October 10, 2011) UoW HPC Quick Start Information Technology Services University of Wollongong ( Last updated on October 10, 2011) 1 Contents 1 Logging into the HPC Cluster 3 1.1 From within the UoW campus.......................

More information

New User Tutorial. OSU High Performance Computing Center

New 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 information

High Performance Computing (HPC) Club Training Session. Xinsheng (Shawn) Qin

High Performance Computing (HPC) Club Training Session. Xinsheng (Shawn) Qin High Performance Computing (HPC) Club Training Session Xinsheng (Shawn) Qin Outline HPC Club The Hyak Supercomputer Logging in to Hyak Basic Linux Commands Transferring Files Between Your PC and Hyak Submitting

More information

The 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. 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 information

High Performance Compu2ng Using Sapelo Cluster

High 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 information

Using 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 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 information

Shell Programming. Introduction to Linux. Peter Ruprecht Research CU Boulder

Shell 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 information

Batch Systems. Running your jobs on an HPC machine

Batch 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 information

The Why and How of HPC-Cloud Hybrids with OpenStack

The Why and How of HPC-Cloud Hybrids with OpenStack The Why and How of HPC-Cloud Hybrids with OpenStack OpenStack Australia Day Melbourne June, 2017 Lev Lafayette, HPC Support and Training Officer, University of Melbourne lev.lafayette@unimelb.edu.au 1.0

More information

Introduction to HPCC at MSU

Introduction 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 information

Protected Environment at CHPC. Sean Igo Center for High Performance Computing September 11, 2014

Protected Environment at CHPC. Sean Igo Center for High Performance Computing September 11, 2014 Protected Environment at CHPC Sean Igo Center for High Performance Computing Sean.Igo@utah.edu September 11, 2014 Purpose of Presentation Overview of CHPC environment / access Actually this is most of

More information

Using the Yale HPC Clusters

Using the Yale HPC Clusters Using the Yale HPC Clusters Stephen Weston Robert Bjornson Yale Center for Research Computing Yale University Oct 2015 To get help Send an email to: hpc@yale.edu Read documentation at: http://research.computing.yale.edu/hpc-support

More information

ICS-ACI System Basics

ICS-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 information

Computing with the Moore Cluster

Computing 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 information

Introduction to GALILEO

Introduction 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 information

Guillimin HPC Users Meeting. Bart Oldeman

Guillimin HPC Users Meeting. Bart Oldeman June 19, 2014 Bart Oldeman bart.oldeman@mcgill.ca McGill University / Calcul Québec / Compute Canada Montréal, QC Canada Outline Compute Canada News Upcoming Maintenance Downtime in August Storage System

More information

PACE Orientation. Research Scientist, PACE

PACE Orientation. Research Scientist, PACE PACE Orientation Mehmet (Memo) Belgin, PhD Research Scientist, PACE www.pace.gatech.edu What is PACE A Partnership for an Advanced Computing Environment Provides faculty and researchers vital tools to

More information

SUBMITTING JOBS TO ARTEMIS FROM MATLAB

SUBMITTING JOBS TO ARTEMIS FROM MATLAB INFORMATION AND COMMUNICATION TECHNOLOGY SUBMITTING JOBS TO ARTEMIS FROM MATLAB STEPHEN KOLMANN, INFORMATION AND COMMUNICATION TECHNOLOGY AND SYDNEY INFORMATICS HUB 8 August 2017 Table of Contents GETTING

More information

AN INTRODUCTION TO CLUSTER COMPUTING

AN INTRODUCTION TO CLUSTER COMPUTING CLUSTERS AND YOU AN INTRODUCTION TO CLUSTER COMPUTING Engineering IT BrownBag Series 29 October, 2015 Gianni Pezzarossi Linux Systems Administrator Mark Smylie Hart Research Technology Facilitator WHAT

More information

High Performance Computing (HPC) Using zcluster at GACRC

High Performance Computing (HPC) Using zcluster at GACRC High Performance Computing (HPC) Using zcluster at GACRC On-class STAT8060 Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer zhuofei@uga.edu Outline What is GACRC?

More information

Introduction to HPC Using the New Cluster (Sapelo) at GACRC

Introduction to HPC Using the New Cluster (Sapelo) at GACRC Introduction to HPC Using the New Cluster (Sapelo) at GACRC Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer zhuofei@uga.edu 1 Outline What is GACRC? What is the

More information

Batch Systems & Parallel Application Launchers Running your jobs on an HPC machine

Batch 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 information

GPU Cluster Usage Tutorial

GPU 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 information

Quick Guide for the Torque Cluster Manager

Quick 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 information

Introduction to HPC Using the New Cluster (Sapelo) at GACRC

Introduction to HPC Using the New Cluster (Sapelo) at GACRC Introduction to HPC Using the New Cluster (Sapelo) at GACRC Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer zhuofei@uga.edu 1 Outline What is GACRC? What is the

More information

Getting started with the CEES Grid

Getting 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 information

High Performance Computing Resources at MSU

High Performance Computing Resources at MSU MICHIGAN STATE UNIVERSITY High Performance Computing Resources at MSU Last Update: August 15, 2017 Institute for Cyber-Enabled Research Misson icer is MSU s central research computing facility. The unit

More information

Big Data Analytics at OSC

Big 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 information

An Introduction to Gauss. Paul D. Baines University of California, Davis November 20 th 2012

An Introduction to Gauss. Paul D. Baines University of California, Davis November 20 th 2012 An Introduction to Gauss Paul D. Baines University of California, Davis November 20 th 2012 What is Gauss? * http://wiki.cse.ucdavis.edu/support:systems:gauss * 12 node compute cluster (2 x 16 cores per

More information

Introduction to PICO Parallel & Production Enviroment

Introduction 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 information

Sharpen Exercise: Using HPC resources and running parallel applications

Sharpen 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 information

PACE. Instructional Cluster Environment (ICE) Orientation. Research Scientist, PACE

PACE. 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 information

The BioHPC Nucleus Cluster & Future Developments

The BioHPC Nucleus Cluster & Future Developments 1 The BioHPC Nucleus Cluster & Future Developments Overview Today we ll talk about the BioHPC Nucleus HPC cluster with some technical details for those interested! How is it designed? What hardware does

More information

Towards Modeling Approach Enabling Efficient Platform for Heterogeneous Big Data Analysis.

Towards Modeling Approach Enabling Efficient Platform for Heterogeneous Big Data Analysis. Towards Modeling Approach Enabling Efficient Platform for Heterogeneous Big Data Analysis Andrey.Sadovykh@softeam.fr www.modeliosoft.com 1 Outlines Introduction Model-driven development Big Data Juniper

More information

PACE. Instructional Cluster Environment (ICE) Orientation. Mehmet (Memo) Belgin, PhD Research Scientist, PACE

PACE. 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 information

Introduction to HPC Using the New Cluster at GACRC

Introduction 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 information

Introduction to HPC Using zcluster at GACRC

Introduction to HPC Using zcluster at GACRC Introduction to HPC Using zcluster at GACRC On-class STAT8330 Georgia Advanced Computing Resource Center University of Georgia Suchitra Pakala pakala@uga.edu Slides courtesy: Zhoufei Hou 1 Outline What

More information

Reduces latency and buffer overhead. Messaging occurs at a speed close to the processors being directly connected. Less error detection

Reduces latency and buffer overhead. Messaging occurs at a speed close to the processors being directly connected. Less error detection Switching Operational modes: Store-and-forward: Each switch receives an entire packet before it forwards it onto the next switch - useful in a general purpose network (I.e. a LAN). usually, there is a

More information

Big Data Analytics with Hadoop and Spark at OSC

Big Data Analytics with Hadoop and Spark at OSC Big Data Analytics with Hadoop and Spark at OSC 09/28/2017 SUG Shameema Oottikkal Data Application Engineer Ohio SuperComputer Center email:soottikkal@osc.edu 1 Data Analytics at OSC Introduction: Data

More information

Introduction to High Performance Computing Using Sapelo2 at GACRC

Introduction to High Performance Computing Using Sapelo2 at GACRC Introduction to High Performance Computing Using Sapelo2 at GACRC Georgia Advanced Computing Resource Center University of Georgia Suchitra Pakala pakala@uga.edu 1 Outline High Performance Computing (HPC)

More information

Please include the following sentence in any works using center resources.

Please 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 information

Introduction to the SHARCNET Environment May-25 Pre-(summer)school webinar Speaker: Alex Razoumov University of Ontario Institute of Technology

Introduction to the SHARCNET Environment May-25 Pre-(summer)school webinar Speaker: Alex Razoumov University of Ontario Institute of Technology Introduction to the SHARCNET Environment 2010-May-25 Pre-(summer)school webinar Speaker: Alex Razoumov University of Ontario Institute of Technology available hardware and software resources our web portal

More information

HPC Data in the Cloud

HPC Data in the Cloud HPC Data in the Cloud Simon Fowler @NCInews Agenda The Problem What we re doing now How can we do it better? Can we do it even better in the future? Conclusions Not being discussed: Performance 2 The Problem

More information

2013 AWS Worldwide Public Sector Summit Washington, D.C.

2013 AWS Worldwide Public Sector Summit Washington, D.C. 2013 AWS Worldwide Public Sector Summit Washington, D.C. EMR for Fun and for Profit Ben Butler Sr. Manager, Big Data butlerb@amazon.com @bensbutler Overview 1. What is big data? 2. What is AWS Elastic

More information

Introduction to the NCAR HPC Systems. 25 May 2018 Consulting Services Group Brian Vanderwende

Introduction to the NCAR HPC Systems. 25 May 2018 Consulting Services Group Brian Vanderwende Introduction to the NCAR HPC Systems 25 May 2018 Consulting Services Group Brian Vanderwende Topics to cover Overview of the NCAR cluster resources Basic tasks in the HPC environment Accessing pre-built

More information

Introduction to Discovery.

Introduction 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 information

Introduction to HPC Using zcluster at GACRC

Introduction to HPC Using zcluster at GACRC Introduction to HPC Using zcluster at GACRC On-class PBIO/BINF8350 Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer zhuofei@uga.edu Outline What is GACRC? What

More information

Introduction to NCAR HPC. 25 May 2017 Consulting Services Group Brian Vanderwende

Introduction to NCAR HPC. 25 May 2017 Consulting Services Group Brian Vanderwende Introduction to NCAR HPC 25 May 2017 Consulting Services Group Brian Vanderwende Topics we will cover Technical overview of our HPC systems The NCAR computing environment Accessing software on Cheyenne

More information

Supercomputing environment TMA4280 Introduction to Supercomputing

Supercomputing environment TMA4280 Introduction to Supercomputing Supercomputing environment TMA4280 Introduction to Supercomputing NTNU, IMF February 21. 2018 1 Supercomputing environment Supercomputers use UNIX-type operating systems. Predominantly Linux. Using a shell

More information

The cluster system. Introduction 22th February Jan Saalbach Scientific Computing Group

The 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 information

HPC DOCUMENTATION. 3. Node Names and IP addresses:- Node details with respect to their individual IP addresses are given below:-

HPC DOCUMENTATION. 3. Node Names and IP addresses:- Node details with respect to their individual IP addresses are given below:- HPC DOCUMENTATION 1. Hardware Resource :- Our HPC consists of Blade chassis with 5 blade servers and one GPU rack server. a.total available cores for computing: - 96 cores. b.cores reserved and dedicated

More information

Introduction to BioHPC

Introduction to BioHPC Introduction to BioHPC New User Training [web] [email] portal.biohpc.swmed.edu biohpc-help@utsouthwestern.edu 1 Updated for 2018-03-07 Overview Today we re going to cover: What is BioHPC? How do I access

More information

iems Interactive Experiment Management System Final Report

iems Interactive Experiment Management System Final Report iems Interactive Experiment Management System Final Report Pēteris Ņikiforovs Introduction Interactive Experiment Management System (Interactive EMS or iems) is an experiment management system with a graphical

More information