PLGrid Infrastructure Solutions For Computational Chemistry

Size: px
Start display at page:

Download "PLGrid Infrastructure Solutions For Computational Chemistry"

Transcription

1 PLGrid Infrastructure Solutions For Computational Chemistry Mariola Czuchry, Klemens Noga, Mariusz Sterzel ACC Cyfronet AGH 2 nd Polish- Taiwanese Conference From Molecular Modeling to Nano- and Biotechnology, Opole, 27 VIII 2015

2 Agenda ACC Cyfronet AGH computing centre of excellence PLGrid Infrastructure What is PLGrid? PL- Grid Consortium Available and solutions and resources Access to Infrastructure Who is fit to free access PLGrid Users Portal How to apply for resources

3 ACC Cyfronet AGH

4 Main activity areas

5 PLGrid Infrastructure

6 PLGrid is... Computing Infrastructure for polish science which gives access to information technologies and services at well established and guaranteed level

7 PLGrid Consortum Academic Computer Centre CYFRONET AGH, Kraków (Coordinator) Tricity Academic Computer Centre, Gdańsk Poznan Supercomputing and Networking Center, Poznań Interdisciplinary Centre for Mathematical and Computational Modelling, Warszawa Wroclaw Centre for Networking and Supercomputing, Wrocław

8 PLGrid Infrastructure Nearly 3000 users use infrastructure There are more than 1000 articles in highly cited scientific journals with acknowledgments to PLGrid Infrastructure Infrastructure is used by 700 Histogram showing number of scientific articles conducted with help of PLGrid Infrastructure sorted by rank of journal Universities and research institutes staff members PhD students Undergraduate students other people involved in polish scientific projects funded by National Science Centre and National Centre for Research and Development

9 PLGrid development New generation domain- specific services in the PL- Grid infrastructure for Polish Science Competence Centre in the Field of Distributed Computing Grid Infrastructures

10 Offer for scientists

11 Main services

12 PL- Grid Infrastructure Hardware 588,02 TFLOPS cores 107,9 TB RAM 5.8 PB storage

13 TOP 500 June 2015 HPC systems from Poland 49 - Prometheus (ACC Cyfronet AGH) - 1,65 PFLOPS (PLGrid) 126 Tryton (TASK) 0,63 PFLOPS (partially in PLGrid) 135 Bem (WCSS) 0,63 PFLOPS (partially in PLGrid) ŚWIERK COMPUTING CENTRE 0,49 PFLOPS 269 Zeus (ACC Cyfronet AGH) 0,37 PFLOPS (PLGRrid) 380 Orion (ICM) 0,20 PFLOPS 418 Nostromo (ICM) 0,19 PFLOPS

14 PL- Grid Infrastructure Hardware ,5+ PFLOPS cores 300+ TB RAM 15+ PB storage

15 PL- Grid Infrastructure Hardware 2015 Available CPUs Intel Xeon 4-, 6-, 12- core (up to 24 cores on node), new Haswell microarchitecture AMD Opteron 6-, 12-, 16- core (up to 64 cores on node) Computational coprocessors GPGPU NVidia Tesla and Kepler (up to 8 units per node), Intel Xeon Phi (up to 2 coprocessors per node) Various nodes configurations 8-64 cores per node up to 512 GB RAM per node vsmp (Intel Xeon) up to 6TB RAM and 768 cores Detailed resources description

16 Access to resources and services PLGrid enables various ways to interact with Infrastructure Local queuing systems on clusters (CLI oraz GUI) grid middleware (UNICORE, QosCosGrid, glite) virtual machines webportals (InSilicoLab, Rimrock, PLG- Data, DataNet,...) Access management through PLGrid Users Portal ( Portfolio of services general services - domain specific services -

17 PLGrid - software Chemistry & Biology: ADF, AMBER, CFOUR, CP Dalton, GAMESS, Gaussian, Molcas, Molpro, MOPAC, NWChem, Open Babel, TURBOMOLE, AutoDock/AutoGrid, BLAST, Clustal, Siesta, Quantum Espresso, VASP (user s own license required), CPMD, Gromacs, NAMD Physics: FLUENT, Meep, OpenFOAM Nanotechnology: ABINIT, Quantum Espresso, NAMD Multipurpose: Mathematica, MATLAB Development: Intel, PGI, GNU compilers, MKL, CUDA, MPI, OpenMP, Alinea, Python, R, Ruby Databases Sequential, Parallel (MPI, OpenMP), interactive runs possible Users own licences could be used

18 Rimrock Rimrock Robust Remote Process and Job Controller Rimrock application simplify the way of interaction with the remote servers It allows to execute application in batch mode or start interactive application application output can be fetched online input can be send using simple REST interface 18

19 PLG- Data Access to data through web browser

20 InSilicoLab Complete workspace in web browser for a scientists who wishes to perform quantum chemistry calculations Assist with preparing input to various scientific applications performing computations on grid infrastructure controlling complex and recurrent jobs collecting output files analysis of obtained results (also from many calculations at once) 20

21 InSilicoLab Available scientific domains Chemistry Astrophysics Geophysics chemical computations using Gaussian, GAMESS, Turbomole and Terachem Trajectory Sculptor - advanced tool for manipulation of Molecular Dynamics trajectories automatic extraction of relevant parts of the input structure (based on user choices) automatic processing frames chosen by user results easily reused in quantum chemical calculations hydrodynamics calculations with finite element methods computations for Cherenkov Telescope Array (CTA) consortium digital research space for induced seismicity research in IS- EPOS project 21

22 Tools enhancing project management Adobe Connect - integrated platform for teleconference services Confluence - "wiki- style software for knowledge aggregation JIRA - tool for planning scientific or IT projects and tracking its progress Stash - Version Control with Git

23 Access to infrastructure

24 PLGrid Users Portal On- line registration through PLGrid Users Portal ( User verification based on Polish Science Database ( polska.pl/) On PLGrid Users Portal user can manage access to tools and services monitor utilization of resources manage their computational grants and grid certificates Access to all PLGrid resources through one account and one passphrase (or grid certificate)

25 Requesting for resources Computational grants in PLGrid Resources for good start personal grant Computational grants all necessary documents and forms through web portal clear and simple methods of evaluation guarantee of access to negotiated resources security of data guarantee

26 Users Support Trainings e- Learing - or hands- on with trainers info at Domain experts help through Helpdesk PLGrid service system helpdesk@plgrid.pl Users Manual Available online: Users Forum

27 Registration: ext. 312

Introduction to the PL-Grid e-infrastructure and the QosCosGrid services

Introduction to the PL-Grid e-infrastructure and the QosCosGrid services Introduction to the PL-Grid e-infrastructure and the QosCosGrid services Bartosz Bosak, Piotr Kopta, Krzysztof Kurowski, Mariusz Mamoński, Tomasz Piontek Poznan Supercompu;ng and Networking Center Wroclaw

More information

Building a Top500-class Supercomputing Cluster at LNS-BUAP

Building a Top500-class Supercomputing Cluster at LNS-BUAP Building a Top500-class Supercomputing Cluster at LNS-BUAP Dr. José Luis Ricardo Chávez Dr. Humberto Salazar Ibargüen Dr. Enrique Varela Carlos Laboratorio Nacional de Supercómputo Benemérita Universidad

More information

PLGrid Programme: IT Platforms and Domain-Specific Solutions Developed for the National Grid Infrastructure for Polish Science

PLGrid Programme: IT Platforms and Domain-Specific Solutions Developed for the National Grid Infrastructure for Polish Science 1 PL-Grid: Polish Infrastructure for Supporting Computational Science in the European Research Space PLGrid Programme: IT Platforms and Domain-Specific Solutions Developed for the National Grid Infrastructure

More information

Science Gateways and scalable application tools with QosCosGrid (QCG) for large communities in Grids and Clouds

Science Gateways and scalable application tools with QosCosGrid (QCG) for large communities in Grids and Clouds Science Gateways and scalable application tools with QosCosGrid (QCG) for large communities in Grids and Clouds Tomasz Piontek, Krzysztof Kurowski and Dawid Szejnfeld [piontek, krzysztof.kurowski, dejw]@man.poznan.pl

More information

Science Gateways and services/tools for application areas: filling the gap between scientists and HPC/HTC platforms

Science Gateways and services/tools for application areas: filling the gap between scientists and HPC/HTC platforms 2014.11.12 Poznan Supercomputing and Networking Center Science Gateways and services/tools for application areas: filling the gap between scientists and HPC/HTC platforms Tomasz Piontek piontek@man.poznan.pl

More information

Introduction to ACENET Accelerating Discovery with Computational Research May, 2015

Introduction to ACENET Accelerating Discovery with Computational Research May, 2015 Introduction to ACENET Accelerating Discovery with Computational Research May, 2015 What is ACENET? What is ACENET? Shared regional resource for... high-performance computing (HPC) remote collaboration

More information

Key Performance Indicators (KPI) for the period of 1 st February 2014 to 31 st January 2015. Columbus 99.6% Columbus 99.6% Columbus 90.6% Slater 99.

Key Performance Indicators (KPI) for the period of 1 st February 2014 to 31 st January 2015. Columbus 99.6% Columbus 99.6% Columbus 90.6% Slater 99. EPSRC UK National Service for Computational Chemistry Software at Imperial College London Funding period: 1 st February 2011 31 st January 2016 EPSRC Reference: EP/J003921/1 Key Performance Indicators

More information

locuz.com HPC App Portal V2.0 DATASHEET

locuz.com HPC App Portal V2.0 DATASHEET locuz.com HPC App Portal V2.0 DATASHEET Ganana HPC App Portal makes it easier for users to run HPC applications without programming and for administrators to better manage their clusters. The web-based

More information

Esqu Science Experiments For Computer Network

Esqu Science Experiments For Computer Network Vangelis Floros, GRNET S.A. 3 rd Open Source Software Conference March 22, 2008 NTUA, Athens Greece Introduction What is a Grid? What is escience? Large Scientific Grids The example of EGEE Building Grid

More information

Data Storage Solution Using PL-Grid UNICORE Infrastructure

Data Storage Solution Using PL-Grid UNICORE Infrastructure Domain-oriented services and resources of Polish Infrastructure for Supporting Computational Science in the European Research Space PLGrid Plus Data Storage Solution Using PL-Grid UNICORE Infrastructure

More information

Advanced Service Platform for e-science. Robert Pękal, Maciej Stroiński, Jan Węglarz (PSNC PL)

Advanced Service Platform for e-science. Robert Pękal, Maciej Stroiński, Jan Węglarz (PSNC PL) Advanced Service Platform for e-science Robert Pękal, Maciej Stroiński, Jan Węglarz (PSNC PL) PLATON Service Platform for e-science Operational Programme: Innovative Economy 2007-2013 Investments in development

More information

Grid Activities in Poland

Grid Activities in Poland Grid Activities in Poland Jarek Nabrzyski Poznan Supercomputing and Networking Center naber@man.poznan.pl Outline PSNC National Program PIONIER Sample projects: Progress and Clusterix R&D Center PSNC was

More information

bwgrid Treff MA/HD Sabine Richling, Heinz Kredel Universitätsrechenzentrum Heidelberg Rechenzentrum Universität Mannheim 24.

bwgrid Treff MA/HD Sabine Richling, Heinz Kredel Universitätsrechenzentrum Heidelberg Rechenzentrum Universität Mannheim 24. bwgrid Treff MA/HD Sabine Richling, Heinz Kredel Universitätsrechenzentrum Heidelberg Rechenzentrum Universität Mannheim 24. November 2010 Richling/Kredel (URZ/RUM) bwgrid Treff WS 2010/2011 1 / 17 Course

More information

How To Compare Amazon Ec2 To A Supercomputer For Scientific Applications

How To Compare Amazon Ec2 To A Supercomputer For Scientific Applications Amazon Cloud Performance Compared David Adams Amazon EC2 performance comparison How does EC2 compare to traditional supercomputer for scientific applications? "Performance Analysis of High Performance

More information

Virtualization of a Cluster Batch System

Virtualization of a Cluster Batch System Virtualization of a Cluster Batch System Christian Baun, Volker Büge, Benjamin Klein, Jens Mielke, Oliver Oberst and Armin Scheurer Die Kooperation von Cluster Batch System Batch system accepts computational

More information

High Performance Computing in Aachen

High Performance Computing in Aachen High Performance Computing in Aachen Samuel Sarholz sarholz@rz.rwth aachen.de Center for Computing and Communication RWTH Aachen University HPC unter Linux Sep 15, RWTH Aachen Agenda o Hardware o Development

More information

HPC-related R&D in 863 Program

HPC-related R&D in 863 Program HPC-related R&D in 863 Program Depei Qian Sino-German Joint Software Institute (JSI) Beihang University Aug. 27, 2010 Outline The 863 key project on HPC and Grid Status and Next 5 years 863 efforts on

More information

Estonian Scientific Computing Infrastructure (ETAIS)

Estonian Scientific Computing Infrastructure (ETAIS) Estonian Scientific Computing Infrastructure (ETAIS) Week #7 Hardi Teder hardi@eenet.ee University of Tartu March 27th 2013 Overview Estonian Scientific Computing Infrastructure Estonian Research infrastructures

More information

Relations with ISV and Open Source. Stephane Requena GENCI Stephane.requena@genci.fr

Relations with ISV and Open Source. Stephane Requena GENCI Stephane.requena@genci.fr Relations with ISV and Open Source Stephane Requena GENCI Stephane.requena@genci.fr Agenda of this session 09:15 09:30 Prof. Hrvoje Jasak: Director, Wikki Ltd. «HPC Deployment of OpenFOAM in an Industrial

More information

icer Bioinformatics Support Fall 2011

icer Bioinformatics Support Fall 2011 icer Bioinformatics Support Fall 2011 John B. Johnston HPC Programmer Institute for Cyber Enabled Research 2011 Michigan State University Board of Trustees. Institute for Cyber Enabled Research (icer)

More information

Introduction to High Performance Computing

Introduction to High Performance Computing Introduction to High Performance Computing Alexander B. Pacheco User Services Consultant LSU HPC & LONI sys-help@loni.org HPC Training Spring 2013 Louisiana State University Baton Rouge January 23, 2013

More information

Parallel Programming Survey

Parallel Programming Survey Christian Terboven 02.09.2014 / Aachen, Germany Stand: 26.08.2014 Version 2.3 IT Center der RWTH Aachen University Agenda Overview: Processor Microarchitecture Shared-Memory

More information

Overview of HPC Resources at Vanderbilt

Overview of HPC Resources at Vanderbilt Overview of HPC Resources at Vanderbilt Will French Senior Application Developer and Research Computing Liaison Advanced Computing Center for Research and Education June 10, 2015 2 Computing Resources

More information

NVIDIA Tesla K20-K20X GPU Accelerators Benchmarks Application Performance Technical Brief

NVIDIA Tesla K20-K20X GPU Accelerators Benchmarks Application Performance Technical Brief NVIDIA Tesla K20-K20X GPU Accelerators Benchmarks Application Performance Technical Brief NVIDIA changed the high performance computing (HPC) landscape by introducing its Fermibased GPUs that delivered

More information

Parallel Processing using the LOTUS cluster

Parallel Processing using the LOTUS cluster Parallel Processing using the LOTUS cluster Alison Pamment / Cristina del Cano Novales JASMIN/CEMS Workshop February 2015 Overview Parallelising data analysis LOTUS HPC Cluster Job submission on LOTUS

More information

HETEROGENEOUS HPC, ARCHITECTURE OPTIMIZATION, AND NVLINK

HETEROGENEOUS HPC, ARCHITECTURE OPTIMIZATION, AND NVLINK HETEROGENEOUS HPC, ARCHITECTURE OPTIMIZATION, AND NVLINK Steve Oberlin CTO, Accelerated Computing US to Build Two Flagship Supercomputers SUMMIT SIERRA Partnership for Science 100-300 PFLOPS Peak Performance

More information

High Performance Computing Software as a Service. Integration in KNIME

High Performance Computing Software as a Service. Integration in KNIME High Performance Computing Software as a Service Integration in KNIME CloudBroker GmbH Technoparkstrasse 1, CH-8005 Zurich, Switzerland Phone: +41 44 633 79 34 Email: info@cloudbroker.com Web: http://www.cloudbroker.com

More information

OpenMP Programming on ScaleMP

OpenMP Programming on ScaleMP OpenMP Programming on ScaleMP Dirk Schmidl schmidl@rz.rwth-aachen.de Rechen- und Kommunikationszentrum (RZ) MPI vs. OpenMP MPI distributed address space explicit message passing typically code redesign

More information

Overview of HPC systems and software available within

Overview of HPC systems and software available within Overview of HPC systems and software available within Overview Available HPC Systems Ba Cy-Tera Available Visualization Facilities Software Environments HPC System at Bibliotheca Alexandrina SUN cluster

More information

GPU System Architecture. Alan Gray EPCC The University of Edinburgh

GPU System Architecture. Alan Gray EPCC The University of Edinburgh GPU System Architecture EPCC The University of Edinburgh Outline Why do we want/need accelerators such as GPUs? GPU-CPU comparison Architectural reasons for GPU performance advantages GPU accelerated systems

More information

Program Grid and HPC5+ workshop

Program Grid and HPC5+ workshop Program Grid and HPC5+ workshop 24-30, Bahman 1391 Tuesday Wednesday 9.00-9.45 9.45-10.30 Break 11.00-11.45 11.45-12.30 Lunch 14.00-17.00 Workshop Rouhani Karimi MosalmanTabar Karimi G+MMT+K Opening IPM_Grid

More information

Cloud services in PL-Grid and EGI Infrastructures

Cloud services in PL-Grid and EGI Infrastructures 1 Cloud services in PL-Grid and EGI Infrastructures J. Meizner, M. Radecki, M. Pawlik, T. Szepieniec ACK Cyfronet AGH Cracow Grid Workshop 2012, Kraków, 22.10.2012 Overview 2 Different types of Compute

More information

Scientific and Technical Applications as a Service in the Cloud

Scientific and Technical Applications as a Service in the Cloud Scientific and Technical Applications as a Service in the Cloud University of Bern, 28.11.2011 adapted version Wibke Sudholt CloudBroker GmbH Technoparkstrasse 1, CH-8005 Zurich, Switzerland Phone: +41

More information

Windows Compute Cluster Server 2003. Miron Krokhmal CTO

Windows Compute Cluster Server 2003. Miron Krokhmal CTO Windows Compute Cluster Server 2003 Miron Krokhmal CTO Agenda The Windows compute cluster architecture o Hardware and software requirements o Supported network topologies o Deployment strategies, including

More information

High-Performance Computing and Big Data Challenge

High-Performance Computing and Big Data Challenge High-Performance Computing and Big Data Challenge Dr Violeta Holmes Matthew Newall The University of Huddersfield Outline High-Performance Computing E-Infrastructure Top500 -Tianhe-II UoH experience: HPC

More information

SURFsara HPC Cloud Workshop

SURFsara HPC Cloud Workshop SURFsara HPC Cloud Workshop doc.hpccloud.surfsara.nl UvA workshop 2016-01-25 UvA HPC Course Jan 2016 Anatoli Danezi, Markus van Dijk cloud-support@surfsara.nl Agenda Introduction and Overview (current

More information

The Asterope compute cluster

The Asterope compute cluster The Asterope compute cluster ÅA has a small cluster named asterope.abo.fi with 8 compute nodes Each node has 2 Intel Xeon X5650 processors (6-core) with a total of 24 GB RAM 2 NVIDIA Tesla M2050 GPGPU

More information

Linux clustering. Morris Law, IT Coordinator, Science Faculty, Hong Kong Baptist University

Linux clustering. Morris Law, IT Coordinator, Science Faculty, Hong Kong Baptist University Linux clustering Morris Law, IT Coordinator, Science Faculty, Hong Kong Baptist University PII 4-node clusters started in 1999 PIII 16 node cluster purchased in 2001. Plan for grid For test base HKBU -

More information

DataNet Flexible Metadata Overlay over File Resources

DataNet Flexible Metadata Overlay over File Resources 1 DataNet Flexible Metadata Overlay over File Resources Daniel Harężlak 1, Marek Kasztelnik 1, Maciej Pawlik 1, Bartosz Wilk 1, Marian Bubak 1,2 1 ACC Cyfronet AGH, 2 AGH University of Science and Technology,

More information

Cloud Campus Services in PLATON e-science Platform

Cloud Campus Services in PLATON e-science Platform Cloud Campus Services in PLATON e-science Platform Roman Wyrzykowski 1, Marek Zawadzki 2, Tomasz Chmiel 1, Piotr Dzierzak 1, Artur Kaszuba 2, Jacek Kochan 2, Jerzy Mikolajczak 2, Tomasz Olas 1, Sebastian

More information

High Performance Computing within the AHRP http://www.ahrp.info http://www.ahrp.info

High Performance Computing within the AHRP http://www.ahrp.info http://www.ahrp.info High Performance Computing within the AHRP http://www.ahrp.info http://www.ahrp.info The Alliance for HPC Rhineland-Palatinate! History, Goals and Tasks! Organization! Access to Resources! Training and

More information

Powering high-end x86 systems

Powering high-end x86 systems Powering high-end x86 systems vsmp Foundation 2.0 Announcement 3/26/2009 1 vsmp Foundation Background NEW SERVER VIRTUALIZATION PARADIGM ENTERPRISE APPLICATIONS Applications requiring fraction of the physical

More information

Performance Characteristics of Large SMP Machines

Performance Characteristics of Large SMP Machines Performance Characteristics of Large SMP Machines Dirk Schmidl, Dieter an Mey, Matthias S. Müller schmidl@rz.rwth-aachen.de Rechen- und Kommunikationszentrum (RZ) Agenda Investigated Hardware Kernel Benchmark

More information

Accelerating Simulation & Analysis with Hybrid GPU Parallelization and Cloud Computing

Accelerating Simulation & Analysis with Hybrid GPU Parallelization and Cloud Computing Accelerating Simulation & Analysis with Hybrid GPU Parallelization and Cloud Computing Innovation Intelligence Devin Jensen August 2012 Altair Knows HPC Altair is the only company that: makes HPC tools

More information

wu.cloud: Insights Gained from Operating a Private Cloud System

wu.cloud: Insights Gained from Operating a Private Cloud System wu.cloud: Insights Gained from Operating a Private Cloud System Stefan Theußl, Institute for Statistics and Mathematics WU Wirtschaftsuniversität Wien March 23, 2011 1 / 14 Introduction In statistics we

More information

Status and Current Achievements

Status and Current Achievements 1 Domain-oriented services and resources of Polish Infrastructure for Supporting Computational Science in the European Research Space PLGrid PLUS Project Status and Current Achievements Jacek Kitowski,

More information

Remote & Collaborative Visualization. Texas Advanced Compu1ng Center

Remote & Collaborative Visualization. Texas Advanced Compu1ng Center Remote & Collaborative Visualization Texas Advanced Compu1ng Center So6ware Requirements SSH client VNC client Recommended: TigerVNC http://sourceforge.net/projects/tigervnc/files/ Web browser with Java

More information

Development of parallel codes using PL-Grid infrastructure.

Development of parallel codes using PL-Grid infrastructure. Development of parallel codes using PL-Grid infrastructure. Rafał Kluszczyński 1, Marcin Stolarek 1, Grzegorz Marczak 1,2, Łukasz Górski 2, Marek Nowicki 2, 1 bala@icm.edu.pl 1 ICM, University of Warsaw,

More information

Simplifying Administration and Management Processes in the Polish National Cluster

Simplifying Administration and Management Processes in the Polish National Cluster Simplifying Administration and Management Processes in the Polish National Cluster Mirosław Kupczyk, Norbert Meyer, Paweł Wolniewicz e-mail: {miron, meyer, pawelw}@man.poznan.pl Poznań Supercomputing and

More information

Simulation Platform Overview

Simulation Platform Overview Simulation Platform Overview Build, compute, and analyze simulations on demand www.rescale.com CASE STUDIES Companies in the aerospace and automotive industries use Rescale to run faster simulations Aerospace

More information

SCIENTIFIC CALCULUS HIGH PERFOMANCE COMPUTING SUPER COMPUTING BASED ON GPU BIG DATA, WORKSTATION, STORAGE SISTEMAS INFORMÁTICOS EUROPEOS

SCIENTIFIC CALCULUS HIGH PERFOMANCE COMPUTING SUPER COMPUTING BASED ON GPU BIG DATA, WORKSTATION, STORAGE SISTEMAS INFORMÁTICOS EUROPEOS SISTEMAS INFORMÁTICOS EUROPEOS C/ Marques de Mondejar, 29 2º 28028 MADRID (SPAIN) SPAIN Tlf. +34 913611002 MEXICO Tlf. +52 55 41692249 HIGH PERFOMANCE COMPUTING SUPER COMPUTING BASED ON GPU BIG DATA, WORKSTATION,

More information

SURFsara HPC Cloud Workshop

SURFsara HPC Cloud Workshop SURFsara HPC Cloud Workshop www.cloud.sara.nl Tutorial 2014-06-11 UvA HPC and Big Data Course June 2014 Anatoli Danezi, Markus van Dijk cloud-support@surfsara.nl Agenda Introduction and Overview (current

More information

Mississippi State University High Performance Computing Collaboratory Brief Overview. Trey Breckenridge Director, HPC

Mississippi State University High Performance Computing Collaboratory Brief Overview. Trey Breckenridge Director, HPC Mississippi State University High Performance Computing Collaboratory Brief Overview Trey Breckenridge Director, HPC Mississippi State University Public university (Land Grant) founded in 1878 Traditional

More information

Advancements in Storage QoS Management in National Data Storage

Advancements in Storage QoS Management in National Data Storage Advancements in Storage QoS Management in National Data Storage Darin Nikolow 1, Renata Słota 1, Stanisław Polak 1 and Jacek Kitowski 1,2 1 AGH University of Science and Technology, Faculty of Computer

More information

Performance analysis of parallel applications on modern multithreaded processor architectures

Performance analysis of parallel applications on modern multithreaded processor architectures Available online at www.prace-ri.eu Partnership for Advanced Computing in Europe Performance analysis of parallel applications on modern multithreaded processor architectures Maciej Cytowski* a, Maciej

More information

Performance of HPC Applications on the Amazon Web Services Cloud

Performance of HPC Applications on the Amazon Web Services Cloud Cloudcom 2010 November 1, 2010 Indianapolis, IN Performance of HPC Applications on the Amazon Web Services Cloud Keith R. Jackson, Lavanya Ramakrishnan, Krishna Muriki, Shane Canon, Shreyas Cholia, Harvey

More information

HPC technology and future architecture

HPC technology and future architecture HPC technology and future architecture Visual Analysis for Extremely Large-Scale Scientific Computing KGT2 Internal Meeting INRIA France Benoit Lange benoit.lange@inria.fr Toàn Nguyên toan.nguyen@inria.fr

More information

Agenda. HPC Software Stack. HPC Post-Processing Visualization. Case Study National Scientific Center. European HPC Benchmark Center Montpellier PSSC

Agenda. HPC Software Stack. HPC Post-Processing Visualization. Case Study National Scientific Center. European HPC Benchmark Center Montpellier PSSC HPC Architecture End to End Alexandre Chauvin Agenda HPC Software Stack Visualization National Scientific Center 2 Agenda HPC Software Stack Alexandre Chauvin Typical HPC Software Stack Externes LAN Typical

More information

Parallel Computing with MATLAB

Parallel Computing with MATLAB Parallel Computing with MATLAB Scott Benway Senior Account Manager Jiro Doke, Ph.D. Senior Application Engineer 2013 The MathWorks, Inc. 1 Acceleration Strategies Applied in MATLAB Approach Options Best

More information

Trends in High-Performance Computing for Power Grid Applications

Trends in High-Performance Computing for Power Grid Applications Trends in High-Performance Computing for Power Grid Applications Franz Franchetti ECE, Carnegie Mellon University www.spiral.net Co-Founder, SpiralGen www.spiralgen.com This talk presents my personal views

More information

Managing Complexity in Distributed Data Life Cycles Enhancing Scientific Discovery

Managing Complexity in Distributed Data Life Cycles Enhancing Scientific Discovery Center for Information Services and High Performance Computing (ZIH) Managing Complexity in Distributed Data Life Cycles Enhancing Scientific Discovery Richard Grunzke*, Jens Krüger, Sandra Gesing, Sonja

More information

Using NeSI HPC Resources. NeSI Computational Science Team (support@nesi.org.nz)

Using NeSI HPC Resources. NeSI Computational Science Team (support@nesi.org.nz) NeSI Computational Science Team (support@nesi.org.nz) Outline 1 About Us About NeSI Our Facilities 2 Using the Cluster Suitable Work What to expect Parallel speedup Data Getting to the Login Node 3 Submitting

More information

HPC and Big Data. EPCC The University of Edinburgh. Adrian Jackson Technical Architect a.jackson@epcc.ed.ac.uk

HPC and Big Data. EPCC The University of Edinburgh. Adrian Jackson Technical Architect a.jackson@epcc.ed.ac.uk HPC and Big Data EPCC The University of Edinburgh Adrian Jackson Technical Architect a.jackson@epcc.ed.ac.uk EPCC Facilities Technology Transfer European Projects HPC Research Visitor Programmes Training

More information

HP ProLiant SL270s Gen8 Server. Evaluation Report

HP ProLiant SL270s Gen8 Server. Evaluation Report HP ProLiant SL270s Gen8 Server Evaluation Report Thomas Schoenemeyer, Hussein Harake and Daniel Peter Swiss National Supercomputing Centre (CSCS), Lugano Institute of Geophysics, ETH Zürich schoenemeyer@cscs.ch

More information

Parallels Plesk Automation

Parallels Plesk Automation Parallels Plesk Automation Contents Compact Configuration: Linux Shared Hosting 3 Compact Configuration: Mixed Linux and Windows Shared Hosting 4 Medium Size Configuration: Mixed Linux and Windows Shared

More information

1 DCSC/AU: HUGE. DeIC Sekretariat 2013-03-12/RB. Bilag 1. DeIC (DCSC) Scientific Computing Installations

1 DCSC/AU: HUGE. DeIC Sekretariat 2013-03-12/RB. Bilag 1. DeIC (DCSC) Scientific Computing Installations Bilag 1 2013-03-12/RB DeIC (DCSC) Scientific Computing Installations DeIC, previously DCSC, currently has a number of scientific computing installations, distributed at five regional operating centres.

More information

On-Demand Supercomputing Multiplies the Possibilities

On-Demand Supercomputing Multiplies the Possibilities Microsoft Windows Compute Cluster Server 2003 Partner Solution Brief Image courtesy of Wolfram Research, Inc. On-Demand Supercomputing Multiplies the Possibilities Microsoft Windows Compute Cluster Server

More information

Using the Windows Cluster

Using the Windows Cluster Using the Windows Cluster Christian Terboven terboven@rz.rwth aachen.de Center for Computing and Communication RWTH Aachen University Windows HPC 2008 (II) September 17, RWTH Aachen Agenda o Windows Cluster

More information

Cloud Computing through Virtualization and HPC technologies

Cloud Computing through Virtualization and HPC technologies Cloud Computing through Virtualization and HPC technologies William Lu, Ph.D. 1 Agenda Cloud Computing & HPC A Case of HPC Implementation Application Performance in VM Summary 2 Cloud Computing & HPC HPC

More information

The CNMS Computer Cluster

The CNMS Computer Cluster The CNMS Computer Cluster This page describes the CNMS Computational Cluster, how to access it, and how to use it. Introduction (2014) The latest block of the CNMS Cluster (2010) Previous blocks of the

More information

Parallel Software usage on UK National HPC Facilities 2009-2015: How well have applications kept up with increasingly parallel hardware?

Parallel Software usage on UK National HPC Facilities 2009-2015: How well have applications kept up with increasingly parallel hardware? Parallel Software usage on UK National HPC Facilities 2009-2015: How well have applications kept up with increasingly parallel hardware? Dr Andrew Turner EPCC University of Edinburgh Edinburgh, UK a.turner@epcc.ed.ac.uk

More information

Anwendungsintegration und Workflows mit UNICORE 6

Anwendungsintegration und Workflows mit UNICORE 6 Mitglied der Helmholtz-Gemeinschaft Anwendungsintegration und Workflows mit UNICORE 6 Bernd Schuller und UNICORE-Team Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH 26. November 2009 D-Grid

More information

HPC Wales Skills Academy Course Catalogue 2015

HPC Wales Skills Academy Course Catalogue 2015 HPC Wales Skills Academy Course Catalogue 2015 Overview The HPC Wales Skills Academy provides a variety of courses and workshops aimed at building skills in High Performance Computing (HPC). Our courses

More information

Hadoop on a Low-Budget General Purpose HPC Cluster in Academia

Hadoop on a Low-Budget General Purpose HPC Cluster in Academia Hadoop on a Low-Budget General Purpose HPC Cluster in Academia Paolo Garza, Paolo Margara, Nicolò Nepote, Luigi Grimaudo, and Elio Piccolo Dipartimento di Automatica e Informatica, Politecnico di Torino,

More information

Universidad Simón Bolívar

Universidad Simón Bolívar Cardinale, Yudith Figueira, Carlos Hernández, Emilio Baquero, Eduardo Berbín, Luis Bouza, Roberto Gamess, Eric García, Pedro Universidad Simón Bolívar In 1999, a couple of projects from USB received funding

More information

High Performance. CAEA elearning Series. Jonathan G. Dudley, Ph.D. 06/09/2015. 2015 CAE Associates

High Performance. CAEA elearning Series. Jonathan G. Dudley, Ph.D. 06/09/2015. 2015 CAE Associates High Performance Computing (HPC) CAEA elearning Series Jonathan G. Dudley, Ph.D. 06/09/2015 2015 CAE Associates Agenda Introduction HPC Background Why HPC SMP vs. DMP Licensing HPC Terminology Types of

More information

Sun in HPC. Update for IDC HPC User Forum Tucson, AZ, Sept 2008

Sun in HPC. Update for IDC HPC User Forum Tucson, AZ, Sept 2008 Sun in HPC Update for IDC HPC User Forum Tucson, AZ, Sept 2008 Bjorn Andersson Director, HPC Marketing Makia Minich Lead Architect, Sun HPC Software, Linux Edition Sun Microsystems Core Focus Areas for

More information

Kriterien für ein PetaFlop System

Kriterien für ein PetaFlop System Kriterien für ein PetaFlop System Rainer Keller, HLRS :: :: :: Context: Organizational HLRS is one of the three national supercomputing centers in Germany. The national supercomputing centers are working

More information

Introduction Physics at CSC. Tomasz Malkiewicz Jan Åström

Introduction Physics at CSC. Tomasz Malkiewicz Jan Åström Introduction Physics at CSC Tomasz Malkiewicz Jan Åström CSC Autumn School in Computational Physics 2013 9.00-9.30 9.30-10.15 Monday November 25 Tuesday November 26 Course intro, physics@csc (T. Malkiewicz,

More information

HPC Cluster Decisions and ANSYS Configuration Best Practices. Diana Collier Lead Systems Support Specialist Houston UGM May 2014

HPC Cluster Decisions and ANSYS Configuration Best Practices. Diana Collier Lead Systems Support Specialist Houston UGM May 2014 HPC Cluster Decisions and ANSYS Configuration Best Practices Diana Collier Lead Systems Support Specialist Houston UGM May 2014 1 Agenda Introduction Lead Systems Support Specialist Cluster Decisions Job

More information

ALPS Supercomputing System A Scalable Supercomputer with Flexible Services

ALPS Supercomputing System A Scalable Supercomputer with Flexible Services ALPS Supercomputing System A Scalable Supercomputer with Flexible Services 1 Abstract Supercomputing is moving from the realm of abstract to mainstream with more and more applications and research being

More information

Introduction to Linux and Cluster Basics for the CCR General Computing Cluster

Introduction to Linux and Cluster Basics for the CCR General Computing Cluster Introduction to Linux and Cluster Basics for the CCR General Computing Cluster Cynthia Cornelius Center for Computational Research University at Buffalo, SUNY 701 Ellicott St Buffalo, NY 14203 Phone: 716-881-8959

More information

Clusters: Mainstream Technology for CAE

Clusters: Mainstream Technology for CAE Clusters: Mainstream Technology for CAE Alanna Dwyer HPC Division, HP Linux and Clusters Sparked a Revolution in High Performance Computing! Supercomputing performance now affordable and accessible Linux

More information

Performance Evaluation of NAS Parallel Benchmarks on Intel Xeon Phi

Performance Evaluation of NAS Parallel Benchmarks on Intel Xeon Phi Performance Evaluation of NAS Parallel Benchmarks on Intel Xeon Phi ICPP 6 th International Workshop on Parallel Programming Models and Systems Software for High-End Computing October 1, 2013 Lyon, France

More information

PRIMERGY server-based High Performance Computing solutions

PRIMERGY server-based High Performance Computing solutions PRIMERGY server-based High Performance Computing solutions PreSales - May 2010 - HPC Revenue OS & Processor Type Increasing standardization with shift in HPC to x86 with 70% in 2008.. HPC revenue by operating

More information

UNICORE as a Tool for Processing the Data from GS FLX Instrument

UNICORE as a Tool for Processing the Data from GS FLX Instrument UNICORE as a Tool for Processing the Data from GS FLX Instrument 1,2 R. Kluszczyński 1 K. Skonieczna 3,4 T. Grzybowski 3 Piotr Bała 1,2 1 ICM University of Warsaw 2 Faculty of Mathematics and Computer

More information

Cosmological simulations on High Performance Computers

Cosmological simulations on High Performance Computers Cosmological simulations on High Performance Computers Cosmic Web Morphology and Topology Cosmological workshop meeting Warsaw, 12-17 July 2011 Maciej Cytowski Interdisciplinary Centre for Mathematical

More information

Outline. High Performance Computing (HPC) Big Data meets HPC. Case Studies: Some facts about Big Data Technologies HPC and Big Data converging

Outline. High Performance Computing (HPC) Big Data meets HPC. Case Studies: Some facts about Big Data Technologies HPC and Big Data converging Outline High Performance Computing (HPC) Towards exascale computing: a brief history Challenges in the exascale era Big Data meets HPC Some facts about Big Data Technologies HPC and Big Data converging

More information

Using WestGrid. Patrick Mann, Manager, Technical Operations Jan.15, 2014

Using WestGrid. Patrick Mann, Manager, Technical Operations Jan.15, 2014 Using WestGrid Patrick Mann, Manager, Technical Operations Jan.15, 2014 Winter 2014 Seminar Series Date Speaker Topic 5 February Gino DiLabio Molecular Modelling Using HPC and Gaussian 26 February Jonathan

More information

Self service for software development tools

Self service for software development tools Self service for software development tools Michal Husejko, behalf of colleagues in CERN IT/PES CERN IT Department CH-1211 Genève 23 Switzerland www.cern.ch/it Self service for software development tools

More information

Getting Started with HPC

Getting Started with HPC Getting Started with HPC An Introduction to the Minerva High Performance Computing Resource 17 Sep 2013 Outline of Topics Introduction HPC Accounts Logging onto the HPC Clusters Common Linux Commands Storage

More information

Altix Usage and Application Programming. Welcome and Introduction

Altix Usage and Application Programming. Welcome and Introduction Zentrum für Informationsdienste und Hochleistungsrechnen Altix Usage and Application Programming Welcome and Introduction Zellescher Weg 12 Tel. +49 351-463 - 35450 Dresden, November 30th 2005 Wolfgang

More information

Building Platform as a Service for Scientific Applications

Building Platform as a Service for Scientific Applications Building Platform as a Service for Scientific Applications Moustafa AbdelBaky moustafa@cac.rutgers.edu Rutgers Discovery Informa=cs Ins=tute (RDI 2 ) The NSF Cloud and Autonomic Compu=ng Center Department

More information

Cluster, Grid, Cloud Concepts

Cluster, Grid, Cloud Concepts Cluster, Grid, Cloud Concepts Kalaiselvan.K Contents Section 1: Cluster Section 2: Grid Section 3: Cloud Cluster An Overview Need for a Cluster Cluster categorizations A computer cluster is a group of

More information

Grids Computing and Collaboration

Grids Computing and Collaboration Grids Computing and Collaboration Arto Teräs CSC, the Finnish IT center for science University of Pune, India, March 12 th 2007 Grids Computing and Collaboration / Arto Teräs 2007-03-12 Slide

More information

ECDF Infrastructure Refresh - Requirements Consultation Document

ECDF Infrastructure Refresh - Requirements Consultation Document Edinburgh Compute & Data Facility - December 2014 ECDF Infrastructure Refresh - Requirements Consultation Document Introduction In order to sustain the University s central research data and computing

More information

Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes. Anthony Kenisky, VP of North America Sales

Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes. Anthony Kenisky, VP of North America Sales Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes Anthony Kenisky, VP of North America Sales About Appro Over 20 Years of Experience 1991 2000 OEM Server Manufacturer 2001-2007

More information

GPU Hardware and Programming Models. Jeremy Appleyard, September 2015

GPU Hardware and Programming Models. Jeremy Appleyard, September 2015 GPU Hardware and Programming Models Jeremy Appleyard, September 2015 A brief history of GPUs In this talk Hardware Overview Programming Models Ask questions at any point! 2 A Brief History of GPUs 3 Once

More information