|
|
- Simon Phelps
- 6 years ago
- Views:
Transcription
1
2
3
4 Beamlines by Village Macromolecular Crystallography Soft Condensed Matter Spectroscopy Materials Engineering and Environment Surfaces and Interfaces
5 A National User Facility for Biological Electron Cryo-microscopy (ebic) Wellcome Trust Strategic Award/MRC/BBSRC, applicants: Helen Saibil, Kay Grünewald, David Stuart, Gerhard Materlik Funded initially by the Wellcome Trust, MRC and BBSRC at level of 15.6 M over 5 years, augmented to ~ 25 M by additional investment by the Trust in 2016 The facility currently includes: - 4 high-end 300kV automated cryo EMs (Titan Krios FEI) kev automated feeder instrument (Talos Arctica) - Cryo focussed ion beam instrument (SCIOS) - Sample prep incl. vitreous sectioning - Correlative fluorescence/em - FEI Oxford for CAT 3 samples
6 ebic 13 th May 2017
7 New ebic Facility Initially constructed with two large rooms for two Krios, remodel to house four - completed 9/16. Sample preparation, loading and general labs. + multiple rooms for smaller microscopes
8
9
10
11
12
13 Preparation Experiment Raw Data Processed Final Result
14 Scientific Computing User office Business IT STFC, CCPs, Universities, Collaborators Analysis Acquisition Controls
15
16 HPC / HTC Cluster (~3500 cores) X86, Nvidia GPU (K80, P100) High Performance Storage Lustre03, Lustre04, GPFS01, GPFS02 Network infrastructure 10Gb/s, 40Gb/s to some beamlines User Gateways, Visualisation, Data Transfer NX Service, Globus endpoint Support Predominantly Linux infrastructure, BUT also Windows support to beamlines/em/etc and VM platforms Relies on working with Corporate IT and other groups in Controls and Scientific Software
17 Target Available Used Performance XFS 50 TB 47 TB < 1GB/s Lustre TB 370 TB 6 GB/s Lustre TB 70 TB 2 GB/s GPFS01 1 PB 700 TB 15 GB/s GPFS PB 1.5 PB 40 GB/s STFC Archive n/a 9 PB 12 TB 50 TB per day ingest
18 Detector Computer 10 / 40Gbit/s Beamline Switch 10Gbit/s 1 Gbit/s Central Switch 1 Gbit/s 2 x 40 Gbit/s or 2x10 Gbit/s Storage GPFS Central computing 3500 CPU cores (between 4 GB and 12 GB RAM per core) 86 GPUs
19 x22 xn Beamline
20
21
22
23
24 Acquisition and Analysis in the Eclipse Framework ( Client server technology Experiment GUI Communication with EPICS and hardware Scan mechanism Acquisition Jython and Python Visualisation Communication with external analysis Analysis tools Data read, write, convert Metadata structure Workflows Analysis DAWN is a collection of generic and bespoke views collated into perspectives. The perspectives and views can be used in part or whole in either the GDA or DAWN. All core technologies open source
25 Interfaces
26 ~200GB Database, 2.5million connections/day
27
28 monitoring Standard Template? User Template files (GPFS) File discovery (message_source.py) Job Queue (ActiveMQ)? SPP Pipeline (Scipion) session (ISPyB) logging Tomo Pipeline (IMOD)
29 Standard Template? User Template SPP Pipeline (Scipion) Tomo Pipeline (IMOD) Drift Correction MotionCor2 Combine Frames (Xmipp) Drift Correction MotionCor2 IMOD Image aberration (CTFFind) Particle Picker (e.g. Ethan) session (ISPyB)
30
31 Diamond s experiment data policy...users conducting Peer Reviewed Research will own the Experimental Data that they produce. Following the initial 30 day storage period, Diamond will create a single archive copy of the Experimental Data on tape. Users of Diamond Facilities are responsible for meeting any third-party data management obligations that may be applicable.
32 Data is archived and metadata captured from every stage of the process Session generation Time and users DLS User Office Database (UAS) 15 min ICAT Information catalogue Web Pages (TopCAT) ISPyB Processing DATA Data Registration TAPE DLS hosted STFC hosted
33
34
35 Data capture at full rate on both direct electron detectors (e.g. 17 fps for Falcon II or 40 fps for the K2). Falcon II data rate ~ movies/hr K2 data rate ~25-75 movies/hr All data are directly written to high speed central computing/storage facility. All data are archived to tape and stored for the lifetime of the media. Diamond cluster available to external users particularly during beamline shut downs.
36
37
38
39
40
41
42
43
44
45 Cryo-EM & Cryo-Tomo The resolution revolution Single particle analysis requires similar high quality samples to X-ray crystallography Massive advances in microscope, detectors (movies), software. Still much to come with improved sample presentation, automation, hardware/software. Already pretty efficient (data output> MX beamline, computional demands circa 1000-fold more).
46
47
48
Linking raw data with scientific workflow and software repository: some early
Linking raw data with scientific workflow and software repository: some early experience in PanData-ODI Erica Yang, Brian Matthews Scientific Computing Department (SCD) Rutherford Appleton Laboratory (RAL)
More informationAn Introduction to Diamond and the Harwell Campus. Martin Walsh
An Introduction to Diamond and the Harwell Campus Martin Walsh The Diamond Project Diamond Light Source Ltd set up in April 2002 and created through a Joint Venture Agreement (JVA) between the UK Government
More informationReal Time Analysis of Advanced Photon Source Data
Real Time Analysis of Advanced Photon Source Data Dan Fraser (ANL) Director, Community Driven Improvement of Globus Software Brian Tieman (APS) And a host of others. ESRFUP WP11 Workshop Exploiting the
More informationIT of SPIM Data Storage and Compression. EMBO Course - August 27th! Jeff Oegema, Peter Steinbach, Oscar Gonzalez
IT of SPIM Data Storage and Compression EMBO Course - August 27th Jeff Oegema, Peter Steinbach, Oscar Gonzalez 1 Talk Outline Introduction and the IT Team SPIM Data Flow Capture, Compression, and the Data
More informationMX Data (& Sample) Handling (& Tracking) at the ESRF Gordon Leonard ESRF Macromolecular Crystallography Group
MX Data (& Sample) Handling (& Tracking) at the ESRF Gordon Leonard ESRF Macromolecular Crystallography Group Slide: 1 Gordon Leonard, 3-Way Meeting, APS, March 2008 Data production at the ESRF Data Storage
More informationCHESS DAQ* Introduction
CHESS DAQ* Introduction Werner Sun (for the CLASSE IT group), Cornell University * DAQ = data acquisition https://en.wikipedia.org/wiki/data_acquisition Big Data @ CHESS Historically, low data volumes:
More informationShibbolized irods (and why it matters)
Shibbolized irods (and why it matters) 3 rd TERENA Storage Meeting, Dublin, February 12 th -13 th 2009 David Corney, for Jens Jensen, e-science centre, Rutherford Appleton Lab, UK Overview Introduction
More informationBiomile Network - Design and Implementation
Likely Evolution of Computational Infrastructure for Bio Beam Lines Over the Next Five Years Dieter K. Schneider BNL Biology and the PXRR at the NSLS BNL, April 21, 2010 with expert advise from: James
More informationBuilding an Open Data Infrastructure for Science: Turning Policy into Practice
Building an Open Infrastructure for Science: Turning Policy into Practice Juan Bicarregui Head of Services Division STFC Department of Scientific Computing Franco-British Workshop on Big in Science, November
More informationManaging 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 informationHPC 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 informationBeamline Automation at the APS
Beamline Automation at the APS John Maclean Group Leader, Beamline Controls and Data Acquisition, Advanced Photon Source Argonne National Laboratory A Laboratory Operated by The University of Chicago Introduction
More informationUnterstützung datenintensiver Forschung am KIT Aktivitäten, Dienste und Erfahrungen
Unterstützung datenintensiver Forschung am KIT Aktivitäten, Dienste und Erfahrungen Achim Streit Steinbuch Centre for Computing (SCC) KIT Universität des Landes Baden-Württemberg und nationales Forschungszentrum
More informationEmerging Trends: Cultural Heritage 3D Modelling
Emerging Trends: Cultural Heritage 3D Modelling Preserving Computer Aided Design Institute of Mechanical Engineers, London 26 th July 2013 Stuart Jeffrey 1 The Digital Design Studio (DDS) Specialist part
More informationOverview 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 informationIntegrating Research Information: Requirements of Science Research
Integrating Research Information: Requirements of Science Research Brian Matthews Scientific Information Group E-Science Centre STFC Rutherford Appleton Laboratory brian.matthews@stfc.ac.uk The science
More informationStorage of the Experimental Data at SOLEIL. Computing and Electronics
Storage of the Experimental Data at SOLEIL 1 the SOLEIL infrastructure 2 Experimental Data Storage: Data Hierarchisation Close Data : beamline local access 3 to 4 days min. Recent Data : fast access, low
More informationHPC Growing Pains. Lessons learned from building a Top500 supercomputer
HPC Growing Pains Lessons learned from building a Top500 supercomputer John L. Wofford Center for Computational Biology & Bioinformatics Columbia University I. What is C2B2? Outline Lessons learned from
More informationDMBI: Data Management for Bio-Imaging.
DMBI: Data Management for Bio-Imaging. Questionnaire Data Report 1.0 Overview As part of the DMBI project an international meeting was organized around the project to bring together the bio-imaging community
More informationAaron Ponti. Single Cell Unit, D-BSSE ETHZ (Basel) aaron.ponti@bsse.ethz.c h
Aaron Ponti Single Cell Unit, D-BSSE ETHZ (Basel) aaron.ponti@bsse.ethz.c h Raw data annotated backed up centralized storage HRM 2 openbis open Biology Information System openbis is an extensible, open
More informationEREBOS: CosmoSim Database. CLUES Research Environment. Harry Enke (Kristin Riebe, Jochen Klar, Adrian Partl) CLUES Meeting 2015, Copenhagen
EREBOS: CLUES Research Environment CosmoSim Database Harry Enke (Kristin Riebe, Jochen Klar, Adrian Partl) CLUES Meeting 2015, Copenhagen Collaborative Research Environment (CRE) Elements: - huge data
More informationScalable Services for Digital Preservation
Scalable Services for Digital Preservation A Perspective on Cloud Computing Rainer Schmidt, Christian Sadilek, and Ross King Digital Preservation (DP) Providing long-term access to growing collections
More informationCMIP6 Data Management at DKRZ
CMIP6 Data Management at DKRZ icas2015 Annecy, France on 13 17 September 2015 Michael Lautenschlager Deutsches Klimarechenzentrum (DKRZ) With contributions from ESGF Executive Committee and WGCM Infrastructure
More informationNSLS-II Data Management Framework Arman Arkilic Brookhaven National Lab NSLS-II
NSLS-II Data Management Framework Arman Arkilic Brookhaven National Lab NSLS-II Motivation Modern synchrotron experiments require frameworks that provide scientists with data mining/analysis tools Given
More informationGlobus Research Data Management: Introduction and Service Overview. Steve Tuecke Vas Vasiliadis
Globus Research Data Management: Introduction and Service Overview Steve Tuecke Vas Vasiliadis Presentations and other useful information available at globus.org/events/xsede15/tutorial 2 Thank you to
More informationThe Mantid Project. The challenges of delivering flexible HPC for novice end users. Nicholas Draper SOS18
The Mantid Project The challenges of delivering flexible HPC for novice end users Nicholas Draper SOS18 What Is Mantid A framework that supports high-performance computing and visualisation of scientific
More informationConfiguration Maximums VMware vsphere 4.1
Topic Configuration s VMware vsphere 4.1 When you select and configure your virtual and physical equipment, you must stay at or below the maximums supported by vsphere 4.1. The limits presented in the
More informationArcGIS Pro: Virtualizing in Citrix XenApp and XenDesktop. Emily Apsey Performance Engineer
ArcGIS Pro: Virtualizing in Citrix XenApp and XenDesktop Emily Apsey Performance Engineer Presentation Overview What it takes to successfully virtualize ArcGIS Pro in Citrix XenApp and XenDesktop - Shareable
More informationASKAP Science Data Archive: Users and Requirements CSIRO ASTRONOMY AND SPACE SCIENCE (CASS)
ASKAP Science Data Archive: Users and Requirements CSIRO ASTRONOMY AND SPACE SCIENCE (CASS) Jessica Chapman, Data Workshop March 2013 ASKAP Science Data Archive Talk outline Data flow in brief Some radio
More informationParallel 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 informationThe ANKA Archiving System
The ANKA Archiving System Combining Tango, WinCC OA and the web front-end ADEI David Haas, KIT Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft www.kit.edu
More informationIn search of the right way for extreme-scale HPC file system metadata
++ In search of the right way for extreme-scale HPC file system metadata Qing Zheng 1, Kai Ren 1, Garth Gibson 1, Bradley W. Settlemyer 2 1 Carnegie MellonUniversity 2 Los AlamosNationalLaboratory [LA-UR-15-25703]
More informationCEDA Storage. Dr Matt Pritchard. Centre for Environmental Data Archival (CEDA) www.ceda.ac.uk
CEDA Storage Dr Matt Pritchard Centre for Environmental Data Archival (CEDA) www.ceda.ac.uk How we store our data NAS Technology Backup JASMIN/CEMS CEDA Storage Data stored as files on disk. Data is migrated
More informationEstonian 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 informationPolarization Dependence in X-ray Spectroscopy and Scattering. S P Collins et al Diamond Light Source UK
Polarization Dependence in X-ray Spectroscopy and Scattering S P Collins et al Diamond Light Source UK Overview of talk 1. Experimental techniques at Diamond: why we care about x-ray polarization 2. How
More informationJoint School Computing Service (JSCS)
Joint School Computing Service (JSCS) Requirements and Design Workshops: Scientific Computing School of Biological Science & School of Clinical Medicine Today s Agenda Project background Overview of related
More informationHPC 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 informationVisualization Cluster Getting Started
Visualization Cluster Getting Started Contents 1 Introduction to the Visualization Cluster... 1 2 Visualization Cluster hardware and software... 2 3 Remote visualization session through VNC... 2 4 Starting
More informationEnhanced Research Data Management and Publication with Globus
Enhanced Research Data Management and Publication with Globus Vas Vasiliadis Jim Pruyne Presented at OR2015 June 8, 2015 Presentations and other useful information available at globus.org/events/or2015/tutorial
More informationVirtualisation Cloud Computing at the RAL Tier 1. Ian Collier STFC RAL Tier 1 HEPiX, Bologna, 18 th April 2013
Virtualisation Cloud Computing at the RAL Tier 1 Ian Collier STFC RAL Tier 1 HEPiX, Bologna, 18 th April 2013 Virtualisation @ RAL Context at RAL Hyper-V Services Platform Scientific Computing Department
More informationGlobus Research Data Management: Introduction and Service Overview
Globus Research Data Management: Introduction and Service Overview Kyle Chard chard@uchicago.edu Ben Blaiszik blaiszik@uchicago.edu Thank you to our sponsors! U. S. D E P A R T M E N T OF ENERGY 2 Agenda
More informationThe Trials and Tribulations and ultimate success of parallelisation using Hadoop within the SCAPE project
The Trials and Tribulations and ultimate success of parallelisation using Hadoop within the SCAPE project Alastair Duncan STFC Pre Coffee talk STFC July 2014 SCAPE Scalable Preservation Environments The
More informationEMC ISILON AND ELEMENTAL SERVER
Configuration Guide EMC ISILON AND ELEMENTAL SERVER Configuration Guide for EMC Isilon Scale-Out NAS and Elemental Server v1.9 EMC Solutions Group Abstract EMC Isilon and Elemental provide best-in-class,
More informationAutomated and Scalable Data Management System for Genome Sequencing Data
Automated and Scalable Data Management System for Genome Sequencing Data Michael Mueller NIHR Imperial BRC Informatics Facility Faculty of Medicine Hammersmith Hospital Campus Continuously falling costs
More informationHPC Cloud. Focus on your research. Floris Sluiter Project leader SARA
HPC Cloud Focus on your research Floris Sluiter Project leader SARA Why an HPC Cloud? Christophe Blanchet, IDB - Infrastructure Distributing Biology: Big task to port them all to your favorite architecture
More informationLustre SMB Gateway. Integrating Lustre with Windows
Lustre SMB Gateway Integrating Lustre with Windows Hardware: Old vs New Compute 60 x Dell PowerEdge 1950-8 x 2.6Ghz cores, 16GB, 500GB Sata, 1GBe - Win7 x64 Storage 1 x Dell R510-12 x 2TB Sata, RAID5,
More informationMEDIA ASSET MANAGEMENT
MEDIA ASSET MANAGEMENT D 3 -MAM The massive shift from analog to digital content, often referred to as the "digital revolution", has had a profound impact on many industries, yet the most efficient way
More informationScientific Computing Data Management Visions
Scientific Computing Data Management Visions ELI-Tango Workshop Szeged, 24-25 February 2015 Péter Szász Group Leader Scientific Computing Group ELI-ALPS Scientific Computing Group Responsibilities Data
More informationBuilding Bioinformatics Capacity in Africa. Nicky Mulder CBIO Group, UCT
Building Bioinformatics Capacity in Africa Nicky Mulder CBIO Group, UCT Outline What is bioinformatics? Why do we need IT infrastructure? What e-infrastructure does it require? How we are developing this
More informationScientific Software & User- Centered Design. Cmpt 479 Jessie Helfrich December 3, 2015
Scientific Software & User- Centered Design Cmpt 479 Jessie Helfrich December 3, 2015 Context Experience: - Software developer at the Canadian Light Source. Problem: - Synchrotron facilities use software
More informationIntegrated Rule-based Data Management System for Genome Sequencing Data
Integrated Rule-based Data Management System for Genome Sequencing Data A Research Data Management (RDM) Green Shoots Pilots Project Report by Michael Mueller, Simon Burbidge, Steven Lawlor and Jorge Ferrer
More informationJASMIN Cloud ESGF and UV- CDAT Conference 09-11 December 2014 STFC / Stephen Kill
JASMIN Cloud ESGF and UV- CDAT Conference 09-11 December 2014 STFC / Stephen Kill Philip Kershaw (1, 2), Jonathan Churchill (5), Bryan Lawrence (1, 3, 4), Stephen Pascoe (1, 4) and MaE Pritchard (1) Centre
More informationFlow 3 Media Asset Management incorporating AirFlow and Automation
DATASHEET Media asset management Flow 3 Media Asset Management incorporating AirFlow and Automation EditShare s Flow products are all about adding efficiency and increasing productivity in your production
More informationHow To Build A Supermicro Computer With A 32 Core Power Core (Powerpc) And A 32-Core (Powerpc) (Powerpowerpter) (I386) (Amd) (Microcore) (Supermicro) (
TECHNICAL GUIDELINES FOR APPLICANTS TO PRACE 7 th CALL (Tier-0) Contributing sites and the corresponding computer systems for this call are: GCS@Jülich, Germany IBM Blue Gene/Q GENCI@CEA, France Bull Bullx
More informationOptimizing Data Management at the Advanced Light Source with a Science DMZ
Optimizing Data Management at the Advanced Light Source with a Science DMZ Eli Dart, Network Engineer ESnet Network Engineering Group GlobusWorld 2013 Argonne, Il April 17, 2013 Outline Science DMZ background
More informationBuilding 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 informationGetting 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 informationSURFsara Data Services
SURFsara Data Services SUPPORTING DATA-INTENSIVE SCIENCES Mark van de Sanden The world of the many Many different users (well organised (international) user communities, research groups, universities,
More informationSystem Requirements - filesmart
System Requirements - filesmart The following are minimum and recommended system requirements for filesmart. Whilst the program will operate on the minimums listed, we strongly suggest you meet or exceed
More informationTowards Elastic Application Model for Augmenting Computing Capabilities of Mobile Platforms. Mobilware 2010
Towards lication Model for Augmenting Computing Capabilities of Mobile Platforms Mobilware 2010 Xinwen Zhang, Simon Gibbs, Anugeetha Kunjithapatham, and Sangoh Jeong Computer Science Lab. Samsung Information
More informationIntroducing ScienceCloud
Zentrale Informatik Introducing ScienceCloud Sergio Maffioletti IS/Cloud S3IT: Service and Support for Science IT Zurich, 10.03.2015 What are we going to talk about today? 1. Why are we building ScienceCloud?
More informationVTrak G1100 Application and Performance Notes
VTrak G1100 Application and Performance Notes Version 1.0 Date: 11/5/2014 Copyright 2014, Promise Technology, Inc. All Rights Reserved Revision History Revision Date Author Description 0.69 10/20/14 Gary
More informationBehind every great artist is an extraordinary pipeline
AUTODESK Integrated Creative Environment Behind every great artist is an extraordinary pipeline 2006 Universal Pictures; image courtesy Rhythm & Hues While working on The Fast and the Furious - Tokyo Drift,
More informationSoftware challenges in the implementation of large surveys: the case of J-PAS
Software challenges in the implementation of large surveys: the case of J-PAS 1/21 Paulo Penteado - IAG/USP pp.penteado@gmail.com http://www.ppenteado.net/ast/pp_lsst_201204.pdf (K. Taylor) (A. Fernández-Soto)
More informationSuccessful Data Management Strategies for the Modern Data Center & Beyond
Successful Data Management Strategies for the Modern Data Center & Beyond May 3 rd 2016 2016 COMMVAULT SYSTEMS, INC. ALL RIGHTS RESERVED. Business Dynamics and Challenges Budget Constraints Lines of Business
More informationPES. Batch virtualization and Cloud computing. Part 1: Batch virtualization. Batch virtualization and Cloud computing
Batch virtualization and Cloud computing Batch virtualization and Cloud computing Part 1: Batch virtualization Tony Cass, Sebastien Goasguen, Belmiro Moreira, Ewan Roche, Ulrich Schwickerath, Romain Wartel
More informationPurchase of High Performance Computing (HPC) Central Compute Resources by Northwestern Researchers
Information Technology Purchase of High Performance Computing (HPC) Central Compute Resources by Northwestern Researchers Effective for FY2016 Purpose This document summarizes High Performance Computing
More informationCLS Office/Beam line Data Storage System Specification CLS 9.8.92.1 Rev. 0
CLS Office/Beam line Data Storage System Specification CLS 9.8.92.1 Rev. 0 2003-02-11 Copyright 2003, Canadian Light Source, Inc. This document is the property of Canadian Light Source Incorporated (CLS).
More informationTerabit Networking with JASMIN
Terabit Networking with JASMIN Jonathan Churchill JASMIN Infrastructure Manager Research Infrastructure Group Scientific Computing Department STFC Rutherford Appleton Labs Terabit Networking with JASMIN
More informationImage Data, RDA and Practical Policies
Image Data, RDA and Practical Policies Rainer Stotzka and many others KIT University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association www.kit.edu Data Life Cycle Lab
More informationWorkflow Tools at NERSC. Debbie Bard djbard@lbl.gov NERSC Data and Analytics Services
Workflow Tools at NERSC Debbie Bard djbard@lbl.gov NERSC Data and Analytics Services NERSC User Meeting August 13th, 2015 What Does Workflow Software Do? Automate connection of applications Chain together
More informationUser Autonomy Darren Spruce. Head of Kontrols & IT services (KITS)
User Autonomy Darren Spruce Head of Kontrols & IT services (KITS) Who am I? British 20 years ESRF software engineer mainly MX beamlines Maxlab Jun 2010 British, born in 1966 Joined ESRF Jan 1991 control
More informationBig Data on AWS. Services Overview. Bernie Nallamotu Principle Solutions Architect
on AWS Services Overview Bernie Nallamotu Principle Solutions Architect \ So what is it? When your data sets become so large that you have to start innovating around how to collect, store, organize, analyze
More informationResearch Data Storage, Sharing, and Transfer Options
Research Data Storage, Sharing, and Transfer Options Principal investigators should establish a research data management system for their projects including procedures for storing working data collected
More informationediscovery Journal Report: Digital Reef & BlueArc ediscovery Software Performance Benchmark Test
ediscovery Journal Report: Digital Reef & BlueArc ediscovery Software Performance Benchmark Test ediscoveryjournal was engaged to review the testing methodology, execution, and results of the Digital Reef
More informationGPFS in data taking and analysis for new light source (X-Ray)
GPFS in data taking and analysis for new light source (X-Ray) experiments @DESY formerly known as Large Data Ingest Architecture Martin Gasthuber, Stefan Dietrich, Marco Strutz, Manuela Kuhn, Uwe Ensslin,
More informationGPU Renderfarm with Integrated Asset Management & Production System (AMPS)
GPU Renderfarm with Integrated Asset Management & Production System (AMPS) Tackling two main challenges in CG movie production Presenter: Dr. Chen Quan Multi-plAtform Game Innovation Centre (MAGIC), Nanyang
More informationThe National Consortium for Data Science (NCDS)
The National Consortium for Data Science (NCDS) A Public-Private Partnership to Advance Data Science Ashok Krishnamurthy PhD Deputy Director, RENCI University of North Carolina, Chapel Hill What is NCDS?
More informationComputational Resources for Drug Discovery
Computational Resources for Drug Discovery 7.6.2106 INTEGRATE Summer School Dr. Atte Sillanpää, CSC Dr. Kimmo Mattila, CSC Getting access to CSC 1. User account (sui.csc.fi) 2. Attach account to a computing
More informationRemote Web Services for Model Building
Remote Web Services for Model Building Venkataraman Parthasarathy Gerrit Langer Frank Schmitz SPINE/BIOXHIT NIH EMBL GRID computing http://en.wikipedia.org/wiki/grid_computing Grid computing is an emerging
More informationCustom Software Development for Clinical and Basic Research
Custom Software Development for Clinical and Basic Research When Your Needs Go Beyond Standard Tools Andrew Rupert, M.S. Open Source Team Lead Research IT Services Overview (http://bmi.cchmc.org) System
More informationAWARD-WINNING CONE BEAM 3D DENTAL IMAGING
Table of Contents: Burning CDs from i-catvision Software Page 2 AVG Set Up Page 3 Fast Scan Settings Page 4-5 How to Complete a Retro-Reconstruction Page 6 Hardware Recommendations for i-catvision Page
More informationirods in complying with Public Research Policy
irods User Group 2015 irods in complying with Public Research Policy Vic Cornell Senior Storage Consultant Overview Compliance overview UK examples Imperial College MedBio Requirements Architecture irods
More informationRemote & 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 informationWorking With Flow Data in an Academic Environment in the DDoSVax Project at ETH Zuerich
Working With Flow Data in an Academic Environment in the DDoSVax Project at ETH Zuerich Arno Wagner wagner@tik.ee.ethz.ch Communication Systems Laboratory Swiss Federal Institute of Technology Zurich (ETH
More informationDeploying and managing a Visualization Farm @ Onera
Deploying and managing a Visualization Farm @ Onera Onera Scientific Day - October, 3 2012 Network and computing department (DRI), Onera P.F. Berte pierre-frederic.berte@onera.fr Plan Onera global HPC
More informationIT Infrastructure Management
IT Infrastructure Management Server-Database Monitoring An Overview XIPHOS TECHNOLOGY SOLUTIONS PVT LIMITED 32/3L, GARIAHAT ROAD (SOUTH) KOLKATA 700 078, WEST BENGAL, INDIA WWW.XIPHOSTEC.COM Xiphos Technology
More informationConfiguration Maximums VMware vsphere 4.0
Topic Configuration s VMware vsphere 4.0 When you select and configure your virtual and physical equipment, you must stay at or below the maximums supported by vsphere 4.0. The limits presented in the
More informationCS246: Mining Massive Datasets Jure Leskovec, Stanford University. http://cs246.stanford.edu
CS246: Mining Massive Datasets Jure Leskovec, Stanford University http://cs246.stanford.edu 2 CPU Memory Machine Learning, Statistics Classical Data Mining Disk 3 20+ billion web pages x 20KB = 400+ TB
More informationSense Making in an IOT World: Sensor Data Analysis with Deep Learning
Sense Making in an IOT World: Sensor Data Analysis with Deep Learning Natalia Vassilieva, PhD Senior Research Manager GTC 2016 Deep learning proof points as of today Vision Speech Text Other Search & information
More informationA pretty picture, or a measurement? Retinal Imaging
Big Data Challenges A pretty picture, or a measurement? Organelles Dynamics Cells Retinal Imaging Physiology Pathology Fundus Camera Optical coherence tomography Fluorescence Histology High Content Screening
More informationPersonalized Medicine and IT
Personalized Medicine and IT Data-driven Medicine in the Age of Genomics www.intel.com/healthcare/bigdata Ketan Paranjape General Manager, Life Sciences Intel Corp. @Portlandketan 1 The Central Dogma of
More informationData Analysis Sequencing - EDNA. Olof Svensson Data Analysis Unit ISDD ESRF
Data Analysis Sequencing - EDNA Olof Svensson Data Analysis Unit ISDD ESRF Why do we need EDNA? EDNA is the best answer we (developers) have come up with so far for answering these questions : How can
More informationEnabling multi-cloud resources at CERN within the Helix Nebula project. D. Giordano (CERN IT-SDC) HEPiX Spring 2014 Workshop 23 May 2014
Enabling multi-cloud resources at CERN within the Helix Nebula project D. Giordano (CERN IT-) HEPiX Spring 2014 Workshop This document produced by Members of the Helix Nebula consortium is licensed under
More informationBig Data and the Earth Observation and Climate Modelling Communities: JASMIN and CEMS
Big Data and the Earth Observation and Climate Modelling Communities: JASMIN and CEMS Workshop on the Future of Big Data Management 27-28 June 2013 Philip Kershaw Centre for Environmental Data Archival
More informationPartek Flow Installation Guide
Partek Flow Installation Guide Partek Flow is a web based application for genomic data analysis and visualization, which can be installed on a desktop computer, compute cluster or cloud. Users can access
More informationParallels 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 informationData Validation and Data Management Solutions
FRONTIER TECHNOLOGY, INC. Advanced Technology for Superior Solutions. and Solutions Abstract Within the performance evaluation and calibration communities, test programs are driven by requirements, test
More informationNT1: An example for future EISCAT_3D data centre and archiving?
March 10, 2015 1 NT1: An example for future EISCAT_3D data centre and archiving? John White NeIC xx March 10, 2015 2 Introduction High Energy Physics and Computing Worldwide LHC Computing Grid Nordic Tier
More informationSoftware design ideas for SoLID
Software design ideas for SoLID Ole Hansen Jefferson Lab EIC Software Meeting Jefferson Lab September 25, 2015 Ole Hansen (Jefferson Lab) Software design ideas for SoLID Sept 25, 2015 1 / 10 The SoLID
More information