KAGRA DMG Status. 27th June 2015, Gwangju, Korea KAGRA DMG group

Size: px
Start display at page:

Download "KAGRA DMG Status. 27th June 2015, Gwangju, Korea KAGRA DMG group"

Transcription

1 JGW-G v3 KAGRA DMG Status 27th June 2015, Gwangju, Korea KAGRA DMG group leader : N.Kanda sub-leader : K.Oohara effort members : S.Eguchi, K.Hayama, Y.Hiranuma, Y.Itoh, M.Kaneyama, G.Kang, S.Miyoki, W.T.Ni, K. Sakai, Y.Sasaki, H.Tagoshi, H.Takahashi, K.Tanaka, S. Ueki, T.Yamamoto, T.Yokozawa, H.Yuzurihara, X.Zhai

2 KAGRA data have to be distributed. KAGRA Tier from detector site to archives and computers distribute to collaboraters including oversea to/from other observatories GW Follow-ups / Counterparts 2

3 Target of DMG (Data Management subsystem) Data Management Group (DMG) is in charge of data collection, distribution and archiving. The tasks : KAGRA data system sending data from Kamioka to Kashiwa and others Hardware construction Software develop and implementation Process calibrated data h(t) and h(f) which can use data analysis immediately

4 Overview of Data Flow of KAGRA Overview of KAGRA data flow Data Sharing with Other obs. Oversea GW experiments (low latency h(t)) Oversea GW experiments (bulk of data) less amount larger amount Tier-0 in KAGRA Detector (tunnel) raw data ~20MB/s Tier-0.5 Kamioka Proc. data ~1MB/s (option : raw data without permanent store) raw data ~20MB/s + Proc. data ~1MB/s Osaka City U. Tier-0.5 for low latency alert data base Kashiwa Tier-0 arcive Tier-1 Proc. data + partial raw data raw + Proc. data Tier-2 RESCEU (TBD) Mirror (TBD) Tier-1 archive socket socket or/and alternative GRID GRID or alternative low latency (h(t)) Alart in GCN format Event Alert to Counterparts/ Follow-ups partial raw&proc. data set follow-ups / counterparts faster (upstream) later (downstream) Tier-3 end user sites

5 Ranks of KAGRA data 1. Raw data derived from the interferometer and any experimental apparatus. 2. Calibrated data (pre-processed data) will be generated on-line at Kamioka site. Data consists of h(t), h(f) and detecter characterization results. Spool storage will be prepare on-site. Calibrated data will transfer to Kashiwa continuous and smoothly without delay. 3. Main mass storage at Kashiwa. Primary archive of raw data and calibrated data 4. Low latency distribution with limited data, e.g. h(t) and data quality flags. This distribution is for transient event searches. This may include Partial distribution listed below. 5. Mirroring Full data including raw data. 6. Partial distribution GW channel and least channels that need typical searches, without raw data.

6 Amount of Data phase duration data rate / duty total expected amount from -> to ikagra about 1 month at December MB/s / 100% 100 TiB Kamioka -> Kashiwa 1MB/s / 100% 5TiB Kamioka -> Osaka City U./Osaka U. commissioning MB/s /?(5~10%)? Kamioka -> Kashiwa 1MB/s /?(5~10%)? Kamioka -> Osaka City U./Osaka U. bkagra MB/s / 100% 3PB / 5yrs Kamioka -> Kashiwa Detector (tunnel) raw data ~20MB/s 1MB/s / 100% Kamioka raw data ~20MB/s + Proc. data ~1MB/s 150 TiB / 5yrs Kashiwa Tier-0 raw + Proc. data Kamioka -> Osaka City U./Osaka U. Mirror archive Tier-1 Proc. data ~1MB/s partial data set Tier-2 Osaka U./ Osaka City U. The Eighth Japan-Korea Joint Workshop on KAGRA, June 27, 2015, Gwangju, for low KOREA latency search Tier-2

7 Tier of Data Distribution We did not decided specific sites for Tier-1,2,3 completely. This is tentative plan. Tier Site(s) Purpose Raw Calibrated Detecter Characterizati on Amount of data for 5yrs event alert Kamioka DAQ partial (spool) partial (spool) partial (spool) 200TB partial 0 Kashiwa Main Storage 5PB (Not yet determined) 0.5 Osaka City, Osaka Low latency NA or small amount 500TB 1 (undecided) Full Mirroring 5PB NA 2 cand. : RESCEU and some. (Analysisbases) Offline searches NA 500TB NA 3 End users Developme nt NA partial partial (Not yet discussed) NA

8 ikagra Data Transfer System Hardwares for ikagra data are installed already. Kamioka > Kashiwa (Tier-0) (bkagra final storage is not yet procured.) Tier-0.5 for low latency hardware was installed at Feb at Osaka City U. and Osaka U. One of Tier-2 RESCEU prepared the data storage. Kamioka VPN Software is urgent task now. RESCEU (Connection protocol is not fixed yet.) Osaka City U. /Osaka U. Kashiwa

9 placed at computer area beside the control room, 1st floor of analysis build TiB lustre file system

10 hardware structure IFO, DSG frontend SINET Environmental Monitor (EPICS layer) frame writer k1fw0 data concentrator hostname HUB 10G low latency hostname frame writer k1fw1 data transfer aldebaran HUB 10G / 1G VPN gwave_kamioka login / job man. taurus-01 login / job man. taurus-02 VPN gwave_kashiwa login server perseus-01 HUB 10G / 1G login server perseus-02 ICRR interoperable computer system calculation pleiades-01 calculation pleiades-02 calculation pleiades-03 calculation pleiades-04 disk array primary data server k1dm0 / hyades-0 20TB primary data server k1dm0 / hyades-0 20TB Infiniband SW NDS hostname MDS/OSS algol-01 DetChar hostname HUB 1G HUB 10G monitor hosts in control room Dedicated optical fiber 4.5 km, tunnel <-> surface build. MDS crab-mds-01 Infiniband SW MDS crab-mds-02 Infiniband SW OSS crab-oss-01 OSS crab-oss-02 MDT/OST disk array MDT disk array OST disk array OST disk array KAGRA s raw data rate : ~ 20MB/s (~630 TB/yr) ikagra data system overview Drawn by N.Kanda last update : 2014/8/19

11 Servers at Osaka (for Low Latency Search) Two cluster systems at Osaka City U. and Osaka U. were upgraded at Feb E5-2697v3 (2.6GHz 14cores x 2, 128GB memory for 1 node) x 7nodes x 2 sites -> total 392 cores Scientific Linux Condor IPCOM VPN SR-X340TR1 LAN 10GBASE-CR LAN 1000BASE-T LAN 1000BASE-T LAN 100BASE-T Osaka U. system will move to Osaka City U. in this July. RX350S7 LDAP NFS DISK RX200S7 Condor RX200S7 RX2540M1 7 RX2540M1 SH1508ATC SH1508ATC The clusters will be used for low latency search. SmartUPS SmartUPS

12 Transfer Test Tunnel (via dedicated optical fiber, 10GB) > Analysis build. on surface using scp*, continuous transfer of dummy files, done by system vender (Fujitsu Co.Ltd.) It marked ~150MB/s. using scp, 320MB frame data, intermittent transfer every16sec by T.Yamamoto ~150MB/s during data sending using via socket transfer** by Oohara ~ 1GB/s during data sending Analysis build. on surface (SINET) > Kashiwa using scp, 320MB frame data, intermittent transfer every16sec by T.Yamamoto ~50MB/s during data sending using via socket transfer** by Oohara ~50MB/s during data sending * scp including file I/O, transfer, encrypt, decrypt* ** socket transfer only data, exclude file I/O Specification requirement : 40MB/s KAGRA raw data : 20MB/s

13 Transfer Test (GRID) KEK ( high-energy institute in Japan) supports KAGRA V.O. Testing GRID and VO usage between our hosts and KEK (by Y.Itoh) Testing data transfer our local GRID machines. at Nagaoka Tech. U. (by Sasaki & Takahashi) Globus!Toolkit! GRID! "!GridFTP! "!GRAM!!! *.nagaokaut.ac.jp FTP GridFTP! Globus!Toolkit A! centos6.2! GT5.2.5! simpleca! MyProxy! GridFTP! GRAM5! GRAM B! centos4.7! GT5.2.3! MyProxy! GridFTP! GRAM5!

14 Software of DMG A lot of things have to be done in this summer frame data from digital control system of the interferometer Socket based file transfer between Tunnel -> Surface of Kamioka -> Kashiwa Data will also send to Osaka City U. Kashiwa server will be a Tier-0 storage.

15 KAGRA data file i/o, transfer Mine (DGS system) frame writer ( raw data, 16sec ) command / operation log messges Shared mem I/O file I/O, other access Kamioka (aldebaran) frame writer ( raw data, EPICS ch, slow ) kdmg_shm (shared memory manage) log record/display last record of status log file Mine (hyadess) Shared Memory (Status of DAQ) kdmg_log (log record/display) status monitor log file last record of status kdmg_shm (shared memory manage script) start/stop/abort kdmg_ctrl (control proc) Shared Memory (Status of DAQ) status monitor kdmg_raw_receiver (data reciver) start/stop/abort raw data NFS raw data (EPICS) NFS start/stop/abort kdmg_ctrl (control proc) fork kdmg_watch (new data watch) fork ext disk (FC, NFS) kdmg_watch (new data watch) raw fork lustre disk system (FEFS) kdmg_procdata (calibration and proc data generator) proc fork kdmg_raw_sender (data sender) proc raw kdmg_raw_sender (data sender) kdmg_proc_sender (data sender) Kamioka (aldebaran) Kashiwa (perseus) Osaka City U. (Shingakujyutu clusters)

16 Osaka City U. (Shingakujyutu clusters) Kashiwa (perseus) log record/display kdmg_shm (shared memory manage) log file We are employing last record of status socket transfer Shared Memory (Status of DAQ) (status monitor) parity check raw kdmg_raw_receiver (data reciver) kdmg_proc_receiver (data reciver) start/stop/abort kdmg_ctrl (control proc) log system (log daemon) shared memory lustre disk system (FEFS) proc Tier-0.5 : Osaka City U. (Shingakujyutu clusters) and Tier-2 Kamioka (aldebaran) proc data. kdmg_shm (shared memory manage) log record/display (xinetd) These are mature and solid techniques. storage raw data stream proc data last record of status Shared Memory (Status of DAQ) (status monitor) log file Work hard! proc kdmg_proc_receiver (data reciver) kdmg_ctrl (control proc) disk system

17 Schedule Delay on the software construction Now

18 Schedule Delay on the software construction Now

19 Schedule Delay on the software construction Now

Status of the KAGRA Project

Status of the KAGRA Project Status of the KAGRA Project Takaaki Kajita, for the KAGRA collaboration (~230 members) ICRR, Univ. of Tokyo Kajita_at_icrr.u-tokyo.ac.jp GWPAW2015 June, 2015, Osaka Outline Introduction: Overview of KAGRA

More information

LIGO workshop What Comes Next for LIGO May 7-8, 2015, Silver Spring, MD KAGRA KAGRA. Takaaki Kajita, ICRR, Univ. of Tokyo for the KAGRA collaboration

LIGO workshop What Comes Next for LIGO May 7-8, 2015, Silver Spring, MD KAGRA KAGRA. Takaaki Kajita, ICRR, Univ. of Tokyo for the KAGRA collaboration LIGO workshop What Comes Next for LIGO May 7-8, 2015, Silver Spring, MD KAGRA KAGRA Takaaki Kajita, ICRR, Univ. of Tokyo for the KAGRA collaboration Outline Introduction: Overview of KAGRA Status of the

More information

Current status of KAGRA data analysis, detector characterization. Kazuhiro Hayama (NAOJ)

Current status of KAGRA data analysis, detector characterization. Kazuhiro Hayama (NAOJ) Current status of KAGRA data analysis, detector characterization Kazuhiro Hayama (NAOJ) 1 KAGRA project 2 Start Tunnel Excavation Nozumi 350m completed New Atotsu 150m completed 3 Surface Building 4 Current

More information

Takaaki Kajita, JGRG 22(2012) Status of KAGRA RESCEU SYMPOSIUM ON GENERAL RELATIVITY AND GRAVITATION JGRG 22. November

Takaaki Kajita, JGRG 22(2012) Status of KAGRA RESCEU SYMPOSIUM ON GENERAL RELATIVITY AND GRAVITATION JGRG 22. November Takaaki Kajita, JGRG 22(2012)111402 Status of KAGRA RESCEU SYMPOSIUM ON GENERAL RELATIVITY AND GRAVITATION JGRG 22 November 12-16 2012 Koshiba Hall, The University of Tokyo, Hongo, Tokyo, Japan RESCEU

More information

Laser Interferometer Gravitational-Wave Observatory (LIGO)! A Brief Overview!

Laser Interferometer Gravitational-Wave Observatory (LIGO)! A Brief Overview! Laser Interferometer Gravitational-Wave Observatory (LIGO) A Brief Overview Sharon Brunett California Institute of Technology Pacific Research Platform Workshop October 15, 2015 Credit: AEI, CCT, LSU LIGO

More information

LIGO Grid Applications Development Within GriPhyN

LIGO Grid Applications Development Within GriPhyN LIGO Grid Applications Development Within GriPhyN Albert Lazzarini LIGO Laboratory, Caltech lazz@ligo.caltech.edu GriPhyN All Hands Meeting 15-17 October 2003 ANL LIGO Applications Development Team (GriPhyN)

More information

Computing Infrastructure for Gravitational Wave Data Analysis

Computing Infrastructure for Gravitational Wave Data Analysis Computing Infrastructure for Gravitational Wave Data Analysis Junwei Cao for the LIGO Scientific Collaboration Tsinghua University / MIT LIGO Laboratory The 3 rd China-U.S. Roundtable on Scientific Data

More information

ETH Beowulf day January 31, Adrian Biland, Zhiling Chen, Derek Feichtinger, Christoph Grab, André Holzner, Urs Langenegger

ETH Beowulf day January 31, Adrian Biland, Zhiling Chen, Derek Feichtinger, Christoph Grab, André Holzner, Urs Langenegger CMS SM Meeting Nov 28 2005 Analysis and simulation of proton-proton collision data at LHC ETH Beowulf day January 31, 2006 Adrian Biland, Zhiling Chen, Derek Feichtinger, Christoph Grab, André Holzner,

More information

ALMA Development Program

ALMA Development Program ALMA Development Program Jeff Kern CASA Team Lead Atacama Large Millimeter/submillimeter Array Expanded Very Large Array Robert C. Byrd Green Bank Telescope Very Long Baseline Array Opportunities for Software

More information

The GW research in Japan - Current Status of KAGRA -

The GW research in Japan - Current Status of KAGRA - GW RSS Amplitude and Detector Noise Level [1/Hz 1/2 ] 10 18 10 20 10 22 10 24 100pc events 10kpc events 10 2 10 3 Frequency [Hz] TAMA noise level (DT9) LCGT design sensitivity The GW research in Japan

More information

arxiv:astro-ph/ v1 28 Jun 2002

arxiv:astro-ph/ v1 28 Jun 2002 arxiv:astro-ph/0206506v1 28 Jun 2002 The INTEGRAL Science Data Centre V. Beckmann on behalf of the ISDC team INTEGRAL Science Data Centre, Chemin d Ecogia 16, CH-1290 Versoix, Switzerland The INTEGRAL

More information

Data Analysis of TAMA

Data Analysis of TAMA Data Analysis of TAMA Nobuyuki Kanda the TAMA collaborations Miyagi University of Education, National Astronomical Observatory, University of Tokyo, University of Electro-Communications, High Energy Accelerator

More information

The Status of KAGRA Underground Cryogenic Gravitational Wave Telescope

The Status of KAGRA Underground Cryogenic Gravitational Wave Telescope TAUP2017 @ Laurentian University Jul 26, 2017 The Status of KAGRA Underground Cryogenic Gravitational Wave Telescope Yuta Michimura Department of Physics, University of Tokyo on behalf of the KAGRA Collaboration

More information

Status of the International Second-generation Gravitational-wave Detector Network

Status of the International Second-generation Gravitational-wave Detector Network Status of the International Second-generation Gravitational-wave Detector Network Albert Lazzarini Deputy Director, LIGO Laboratory California Institute of Technology On behalf of the LIGO Scientific Collaboration

More information

LIGOʼs first detection of gravitational waves and the development of KAGRA

LIGOʼs first detection of gravitational waves and the development of KAGRA LIGOʼs first detection of gravitational waves and the development of KAGRA KMI2017 Jan. 2017 Tokyo Institute of Technology Kentaro Somiya Self Introduction Applied Physics (U Tokyo) NAOJ 2000-04 Albert-Einstein

More information

LIGO-Virgo Detector Characterization (DetChar)

LIGO-Virgo Detector Characterization (DetChar) LIGO-Virgo Detector Characterization (DetChar) 5th KAGRA Workshop Perugia, 14-15 February 2019 Nicolas Arnaud (narnaud@lal.in2p3.fr) Laboratoire de l Accélérateur Linéaire (CNRS/IN2P3 & Université Paris-Sud)

More information

A Data Communication Reliability and Trustability Study for Cluster Computing

A Data Communication Reliability and Trustability Study for Cluster Computing A Data Communication Reliability and Trustability Study for Cluster Computing Speaker: Eduardo Colmenares Midwestern State University Wichita Falls, TX HPC Introduction Relevant to a variety of sciences,

More information

Data Replication in LIGO

Data Replication in LIGO Data Replication in LIGO Kevin Flasch for the LIGO Scientific Collaboration University of Wisconsin Milwaukee 06/25/07 LIGO Scientific Collaboration 1 Outline LIGO and LIGO Scientific Collaboration Basic

More information

PI SERVER 2012 Do. More. Faster. Now! Copyr i g h t 2012 O S Is o f t, L L C. 1

PI SERVER 2012 Do. More. Faster. Now! Copyr i g h t 2012 O S Is o f t, L L C. 1 PI SERVER 2012 Do. More. Faster. Now! Copyr i g h t 2012 O S Is o f t, L L C. 1 AUGUST 7, 2007 APRIL 14, 2010 APRIL 24, 2012 Copyr i g h t 2012 O S Is o f t, L L C. 2 PI Data Archive Security PI Asset

More information

Sheffield Computing. Matt Robinson Elena Korolkova Paul Hodgson

Sheffield Computing. Matt Robinson Elena Korolkova Paul Hodgson Sheffield Computing Matt Robinson Elena Korolkova Paul Hodgson Tier-3 Zero gridpp funding has gone into the Tier-3 cluster. It is entirely funded by the PPPA groups at Sheffield. Currently stands at 130

More information

Cluster Computing: Updraft. Charles Reid Scientific Computing Summer Workshop June 29, 2010

Cluster Computing: Updraft. Charles Reid Scientific Computing Summer Workshop June 29, 2010 Cluster Computing: Updraft Charles Reid Scientific Computing Summer Workshop June 29, 2010 Updraft Cluster: Hardware 256 Dual Quad-Core Nodes 2048 Cores 2.8 GHz Intel Xeon Processors 16 GB memory per

More information

Today s Agenda: 1) Why Do We Need To Measure The Memory Component? 2) Machine Pool Memory / Best Practice Guidelines

Today s Agenda: 1) Why Do We Need To Measure The Memory Component? 2) Machine Pool Memory / Best Practice Guidelines Today s Agenda: 1) Why Do We Need To Measure The Memory Component? 2) Machine Pool Memory / Best Practice Guidelines 3) Techniques To Measure The Memory Component a) Understanding Your Current Environment

More information

Report from sub-groups Cryogenic Cryogenic payload

Report from sub-groups Cryogenic Cryogenic payload Report from sub-groups Cryogenic Cryogenic payload Kazuhiro Yamamoto Institute for Cosmic Ray Research (ICRR) the University of Tokyo KAGRA(LCGT) face to face meeting Institute for Cosmic Ray Research,

More information

Administrivia. Course Objectives. Overview. Lecture Notes Week markem/cs333/ 2. Staff. 3. Prerequisites. 4. Grading. 1. Theory and application

Administrivia. Course Objectives. Overview. Lecture Notes Week markem/cs333/ 2. Staff. 3. Prerequisites. 4. Grading. 1. Theory and application Administrivia 1. markem/cs333/ 2. Staff 3. Prerequisites 4. Grading Course Objectives 1. Theory and application 2. Benefits 3. Labs TAs Overview 1. What is a computer system? CPU PC ALU System bus Memory

More information

CMS: Priming the Network for LHC Startup and Beyond

CMS: Priming the Network for LHC Startup and Beyond CMS: Priming the Network for LHC Startup and Beyond 58 Events / 2 GeV arbitrary units Chapter 3. Physics Studies with Muons f sb ps pcore ptail pb 12 117.6 + 15.1 Nb bw mean 249.7 + 0.9 bw gamma 4.81 +

More information

Red Sky. Pushing Toward Petascale with Commodity Systems. Matthew Bohnsack. Sandia National Laboratories Albuquerque, New Mexico USA

Red Sky. Pushing Toward Petascale with Commodity Systems. Matthew Bohnsack. Sandia National Laboratories Albuquerque, New Mexico USA Red Sky Pushing Toward Petascale with Commodity Systems Matthew Bohnsack Sandia National Laboratories Albuquerque, New Mexico USA mpbohns@sandia.gov Tuesday March 9, 2010 Matthew Bohnsack (Sandia Nat l

More information

TSCCLOCK: A LOW COST, ROBUST, ACCURATE SOFTWARE CLOCK FOR NETWORKED COMPUTERS

TSCCLOCK: A LOW COST, ROBUST, ACCURATE SOFTWARE CLOCK FOR NETWORKED COMPUTERS TSCCLOCK: A LOW COST, ROBUST, ACCURATE SOFTWARE CLOCK FOR NETWORKED COMPUTERS Darryl Veitch d.veitch@ee.unimelb.edu.au http://www.cubinlab.ee.unimelb.edu.au/ darryl Collaboration with Julien Ridoux CUBIN,

More information

Weather Research and Forecasting (WRF) Performance Benchmark and Profiling. July 2012

Weather Research and Forecasting (WRF) Performance Benchmark and Profiling. July 2012 Weather Research and Forecasting (WRF) Performance Benchmark and Profiling July 2012 Note The following research was performed under the HPC Advisory Council activities Participating vendors: Intel, Dell,

More information

MSC HPC Infrastructure Update. Alain St-Denis Canadian Meteorological Centre Meteorological Service of Canada

MSC HPC Infrastructure Update. Alain St-Denis Canadian Meteorological Centre Meteorological Service of Canada MSC HPC Infrastructure Update Alain St-Denis Canadian Meteorological Centre Meteorological Service of Canada Outline HPC Infrastructure Overview Supercomputer Configuration Scientific Direction 2 IT Infrastructure

More information

Data analysis of massive data sets a Planck example

Data analysis of massive data sets a Planck example Data analysis of massive data sets a Planck example Radek Stompor (APC) LOFAR workshop, Meudon, 29/03/06 Outline 1. Planck mission; 2. Planck data set; 3. Planck data analysis plan and challenges; 4. Planck

More information

NEW COMPACT OCEAN BOTTOM CABLED SYSTEM FOR SEISMIC AND TSUNAMI OBSERVATION

NEW COMPACT OCEAN BOTTOM CABLED SYSTEM FOR SEISMIC AND TSUNAMI OBSERVATION NEW COMPACT OCEAN BOTTOM CABLED SYSTEM FOR SEISMIC AND TSUNAMI OBSERVATION Toshihiko Kanazawa, Masanao Shinohara, Shin'ichi Sakai, Osamu Sano, Hisashi Utada, Hajime Shiobara, Yuichi Morita, Tomoaki Yamada

More information

Exascale I/O challenges for Numerical Weather Prediction

Exascale I/O challenges for Numerical Weather Prediction Exascale I/O challenges for Numerical Weather Prediction A view from ECMWF Tiago Quintino, B. Raoult, S. Smart, A. Bonanni, F. Rathgeber, P. Bauer, N. Wedi ECMWF tiago.quintino@ecmwf.int SuperComputing

More information

An Overview of HPC at the Met Office

An Overview of HPC at the Met Office An Overview of HPC at the Met Office Paul Selwood Crown copyright 2006 Page 1 Introduction The Met Office National Weather Service for the UK Climate Prediction (Hadley Centre) Operational and Research

More information

The Zadko Telescope: the Australian Node of a Global Network of Fully Robotic Follow-up Telescopes

The Zadko Telescope: the Australian Node of a Global Network of Fully Robotic Follow-up Telescopes The Zadko Telescope: the Australian Node of a Global Network of Fully Robotic Follow-up Telescopes David Coward, Myrtille Laas-Bourez, Michael Todd To cite this version: David Coward, Myrtille Laas-Bourez,

More information

One Optimized I/O Configuration per HPC Application

One Optimized I/O Configuration per HPC Application One Optimized I/O Configuration per HPC Application Leveraging I/O Configurability of Amazon EC2 Cloud Mingliang Liu, Jidong Zhai, Yan Zhai Tsinghua University Xiaosong Ma North Carolina State University

More information

Performance of WRF using UPC

Performance of WRF using UPC Performance of WRF using UPC Hee-Sik Kim and Jong-Gwan Do * Cray Korea ABSTRACT: The Weather Research and Forecasting (WRF) model is a next-generation mesoscale numerical weather prediction system. We

More information

Status of KEK-E391a and Future Prospects on K L π 0 νν at KEK. GeiYoub Lim IPNS, KEK

Status of KEK-E391a and Future Prospects on K L π 0 νν at KEK. GeiYoub Lim IPNS, KEK Status of KEK-E391a and Future Prospects on K L π 0 νν at KEK GeiYoub Lim IPNS, KEK E391a Collaboration Joint Institute for Nuclear Research (Dubna), Russia High Energy Accelerator Research Organization,

More information

Portal for ArcGIS: An Introduction

Portal for ArcGIS: An Introduction Portal for ArcGIS: An Introduction Derek Law Esri Product Management Esri UC 2014 Technical Workshop Agenda Web GIS pattern Product overview Installation and deployment Security and groups Configuration

More information

Knowledge Discovery and Data Mining 1 (VO) ( )

Knowledge Discovery and Data Mining 1 (VO) ( ) Knowledge Discovery and Data Mining 1 (VO) (707.003) Map-Reduce Denis Helic KTI, TU Graz Oct 24, 2013 Denis Helic (KTI, TU Graz) KDDM1 Oct 24, 2013 1 / 82 Big picture: KDDM Probability Theory Linear Algebra

More information

Gravitational Wave Data (Centre?)

Gravitational Wave Data (Centre?) ARC Centre of Excellence for Gravitational Wave Discovery Gravitational Wave Data (Centre?) Matthew Bailes (Director) Swinburne University of Technology ARC Laureate Fellow OzGrav Director Gravitational

More information

Current Status of Chinese Virtual Observatory

Current Status of Chinese Virtual Observatory Current Status of Chinese Virtual Observatory Chenzhou Cui, Yongheng Zhao National Astronomical Observatories, Chinese Academy of Science, Beijing 100012, P. R. China Dec. 30, 2002 General Information

More information

CS425: Algorithms for Web Scale Data

CS425: Algorithms for Web Scale Data CS425: Algorithms for Web Scale Data Most of the slides are from the Mining of Massive Datasets book. These slides have been modified for CS425. The original slides can be accessed at: www.mmds.org Challenges

More information

High-Energy Physics, ATLAS and Trans- Pacific Collaboration Opportunities

High-Energy Physics, ATLAS and Trans- Pacific Collaboration Opportunities High-Energy Physics, ATLAS and Trans- Pacific Collaboration Opportunities Shawn McKee - University of Michigan Driving eresearch Collaboration Across the Pacific Workshop Perth, Australia, October 11 th,

More information

Cosmic Ray Detector Software

Cosmic Ray Detector Software Cosmic Ray Detector Software Studying cosmic rays has never been easier Matthew Jones Purdue University 2012 QuarkNet Summer Workshop 1 Brief History First cosmic ray detector built at Purdue in about

More information

AstroPortal: A Science Gateway for Large-scale Astronomy Data Analysis

AstroPortal: A Science Gateway for Large-scale Astronomy Data Analysis AstroPortal: A Science Gateway for Large-scale Astronomy Data Analysis Ioan Raicu Distributed Systems Laboratory Computer Science Department University of Chicago Joint work with: Ian Foster: Univ. of

More information

Astronomy of the Next Decade: From Photons to Petabytes. R. Chris Smith AURA Observatory in Chile CTIO/Gemini/SOAR/LSST

Astronomy of the Next Decade: From Photons to Petabytes. R. Chris Smith AURA Observatory in Chile CTIO/Gemini/SOAR/LSST Astronomy of the Next Decade: From Photons to Petabytes R. Chris Smith AURA Observatory in Chile CTIO/Gemini/SOAR/LSST Classical Astronomy still dominates new facilities Even new large facilities (VLT,

More information

A review of (sub)mm band science and instruments in the ALMA era

A review of (sub)mm band science and instruments in the ALMA era A review of (sub)mm band science and instruments in the ALMA era Marcella Massardi INAF- Istituto di Radioastronomia Italian node of European ALMA Regional Centre SISSA March 2018 Outline Signals in the

More information

MapOSMatic, free city maps for everyone!

MapOSMatic, free city maps for everyone! MapOSMatic, free city maps for everyone! Thomas Petazzoni thomas.petazzoni@enix.org Libre Software Meeting 2012 http://www.maposmatic.org Thomas Petazzoni () MapOSMatic: free city maps for everyone! July

More information

Introduction to Portal for ArcGIS. Hao LEE November 12, 2015

Introduction to Portal for ArcGIS. Hao LEE November 12, 2015 Introduction to Portal for ArcGIS Hao LEE November 12, 2015 Agenda Web GIS pattern Product overview Installation and deployment Security and groups Configuration options Portal for ArcGIS + ArcGIS for

More information

Big Computing in High Energy Physics. David Toback Department of Physics and Astronomy Mitchell Institute for Fundamental Physics and Astronomy

Big Computing in High Energy Physics. David Toback Department of Physics and Astronomy Mitchell Institute for Fundamental Physics and Astronomy Big Computing in High Energy Physics Big Data Workshop Department of Physics and Astronomy Mitchell Institute for Fundamental Physics and Astronomy October 2011 Outline Particle Physics and Big Computing

More information

SVOM Science Ground Segment

SVOM Science Ground Segment SVOM Science Ground Segment Maohai Huang National Astronomical Observatories, CAS on behalf of the SVOM Ground Segment team 2016-10-11 Hotwiring the Transient Univserse V, Villanova, M. Huang 1 GRB Mission

More information

ALMA/ASTE/Mopra Report

ALMA/ASTE/Mopra Report 1 ALMA/ASTE/Mopra Report Daisuke Iono (NAOJ) NRO UM 2014/7/24 2 ALMA Telescope 21 countries and regions (Japan, Taiwan, Korea, U.S., Canada, 15 European nations, and Chile) 4 regions East Asia: NAOJ North

More information

NCS. New Control System for the 30m Telescope. TBD. 2005

NCS. New Control System for the 30m Telescope. TBD. 2005 Title: NCS. New Control System for the 30m Telescope. TBD. 2005 Identifier - Master URL: http://www.iram.es/irames/documents/ncs30mtbdsummer2005 Revision: ncs30mtbdsummer2005, v1.5 Date: 2005-10-06 Expiration

More information

LBA Operations. Chris Phillips & Phil Edwards 19 November 2015 CSIRO ASTRONOMY & SPACE SCIENCE

LBA Operations. Chris Phillips & Phil Edwards 19 November 2015 CSIRO ASTRONOMY & SPACE SCIENCE LBA Operations Chris Phillips & Phil Edwards 19 November 2015 CSIRO ASTRONOMY & SPACE SCIENCE The Long Baseline Array (LBA) Operated as a National Facility by ATNF (which is part of CSIRO Astronomy & Space

More information

Workstations at Met Éireann. Kieran Commins Head Applications Development

Workstations at Met Éireann. Kieran Commins Head Applications Development Workstations at Met Éireann Kieran Commins Head Applications Development Background For many years Met Éireann has used several systems for visualisation of data X-charts for NWP Intranet for Satellite/radar

More information

Smart Sensing Embedded Spectroscopy Platform Botlek studiegroep 06-april-2017

Smart Sensing Embedded Spectroscopy Platform Botlek studiegroep 06-april-2017 Smart Sensing Embedded Spectroscopy Platform Botlek studiegroep 06-april-2017 W. Karremans Personal introduction Background: Process Analysis DSM AKZO Nobel Chemicals Aspenpharma 2016: Sales Engineer Elscolab

More information

The ATLAS trigger - commissioning with cosmic rays

The ATLAS trigger - commissioning with cosmic rays Journal of Physics: Conference Series The ATLAS trigger - commissioning with cosmic rays To cite this article: J Boyd 2008 J. Phys.: Conf. Ser. 119 022014 Related content - The ATLAS Level-1 Central Trigger

More information

Plans for Unprecedented Imaging of Stellar Surfaces with the Navy Precision Optical Interferometer (NPOI)

Plans for Unprecedented Imaging of Stellar Surfaces with the Navy Precision Optical Interferometer (NPOI) Plans for Unprecedented Imaging of Stellar Surfaces with the Navy Precision Optical Interferometer (NPOI) A. M. Jorgensen Electrical Engineering Department New Mexico Tech, USA H. R. Schmitt, D. Mozurkewich,

More information

MapOSMatic: city maps for the masses

MapOSMatic: city maps for the masses MapOSMatic: city maps for the masses Thomas Petazzoni Libre Software Meeting July 9th, 2010 Outline 1 The story 2 MapOSMatic 3 Behind the web page 4 Pain points 5 Future work 6 Conclusion Thomas Petazzoni

More information

LOFAR OBSERVING: INTERACTION USER RADIO OBSERVATORY. R. F. Pizzo

LOFAR OBSERVING: INTERACTION USER RADIO OBSERVATORY. R. F. Pizzo LOFAR OBSERVING: INTERACTION USER RADIO OBSERVATORY R. F. Pizzo ASTRON, November 17 th 2014 THE RO PROPOSALS PEOPLE A large number of software and hardware engineers, astronomers and others who designed,

More information

Operational Forecasting With Very-High-Resolution Models. Tom Warner

Operational Forecasting With Very-High-Resolution Models. Tom Warner Operational Forecasting With Very-High-Resolution Models Tom Warner Background Since 1997 NCAR Has Been Developing Operational Mesoscale Forecasting Systems for General Meteorological Support at Army Test

More information

Introduction to Portal for ArcGIS

Introduction to Portal for ArcGIS Introduction to Portal for ArcGIS Derek Law Product Management March 10 th, 2015 Esri Developer Summit 2015 Agenda Web GIS pattern Product overview Installation and deployment Security and groups Configuration

More information

RECENT ADVANCES TO EXPERIMENTAL GMS ATMOSPHERIC MOTION VECTOR PROCESSING SYSTEM AT MSC/JMA

RECENT ADVANCES TO EXPERIMENTAL GMS ATMOSPHERIC MOTION VECTOR PROCESSING SYSTEM AT MSC/JMA RECENT ADVANCES TO EXPERIMENTAL GMS ATMOSPHERIC MOTION VECTOR PROCESSING SYSTEM AT MSC/JMA Ryoji Kumabe 1, Yoshiki Kajino 1 and Masami Tokuno 2 1 Meteorological Satellite Center, Japan Meteorological Agency

More information

Radio Transients with Apertif Joeri van Leeuwen

Radio Transients with Apertif Joeri van Leeuwen Radio Transients with Apertif Joeri van Leeuwen [ movie at alert.eu.org ] Apertif Phased Array Feeds 1.4 GHz, 300 MHz bandwidth, T sys = 70K Apertif WSRT: Increased field of view 8.7 sq. deg. instantaneously

More information

Development of ground based laser interferometers for the detection of gravitational waves

Development of ground based laser interferometers for the detection of gravitational waves Development of ground based laser interferometers for the detection of gravitational waves Rahul Kumar ICRR, The University of Tokyo, 7 th March 2014 1 Outline 1. Gravitational waves, nature & their sources

More information

From LOFAR to SKA, challenges in distributed computing. Soobash Daiboo Paris Observatory -LESIA

From LOFAR to SKA, challenges in distributed computing. Soobash Daiboo Paris Observatory -LESIA From LOFAR to SKA, challenges in distributed computing Soobash Daiboo Paris Observatory -LESIA Overview LOFAR telescope Data processing with LOFAR NenuFar SKA Summary LOFAR science drivers Key science

More information

Unidata Community Equipment Awards Cover Sheet. Proposal Title: Upgrading the Rutgers Weather Center to Meet Today s Needs

Unidata Community Equipment Awards Cover Sheet. Proposal Title: Upgrading the Rutgers Weather Center to Meet Today s Needs Unidata Community Equipment Awards Cover Sheet Proposal Title: Upgrading the Rutgers Weather Center to Meet Today s Needs Date: March 13, 2008 Principal Investigator Name: Steven G. Decker Title: Assistant

More information

Hellenic National Meteorological Service (HNMS) GREECE

Hellenic National Meteorological Service (HNMS) GREECE WWW TECHNICAL PROGRESS REPORT ON THE GLOBAL DATA- PROCESSING AND FORECASTING SYSTEM (GDPFS), AND THE ANNUAL NUMERICAL WEATHER PREDICTION (NWP) PROGRESS REPORT FOR THE YEAR 2005 Hellenic National Meteorological

More information

Performance and Application of Observation Sensitivity to Global Forecasts on the KMA Cray XE6

Performance and Application of Observation Sensitivity to Global Forecasts on the KMA Cray XE6 Performance and Application of Observation Sensitivity to Global Forecasts on the KMA Cray XE6 Sangwon Joo, Yoonjae Kim, Hyuncheol Shin, Eunhee Lee, Eunjung Kim (Korea Meteorological Administration) Tae-Hun

More information

Annual WWW Technical Progress Report. On the Global Data Processing and Forecasting System 2004 OMAN

Annual WWW Technical Progress Report. On the Global Data Processing and Forecasting System 2004 OMAN Annual WWW Technical Progress Report On the Global Data Processing and Forecasting System 2004 OMAN Summary of highlights Oman Meteorological Service, located in Muscat, Oman develops, produces and disseminates

More information

WRF performance tuning for the Intel Woodcrest Processor

WRF performance tuning for the Intel Woodcrest Processor WRF performance tuning for the Intel Woodcrest Processor A. Semenov, T. Kashevarova, P. Mankevich, D. Shkurko, K. Arturov, N. Panov Intel Corp., pr. ak. Lavrentieva 6/1, Novosibirsk, Russia, 630090 {alexander.l.semenov,tamara.p.kashevarova,pavel.v.mankevich,

More information

Data Management Plan Extended Baryon Oscillation Spectroscopic Survey

Data Management Plan Extended Baryon Oscillation Spectroscopic Survey Data Management Plan Extended Baryon Oscillation Spectroscopic Survey Experiment description: eboss is the cosmological component of the fourth generation of the Sloan Digital Sky Survey (SDSS-IV) located

More information

MONTHLY OPERATIONS REPORT

MONTHLY OPERATIONS REPORT LY OPERATIONS REPORT MOR#023 Reporting period from 6-Oct-205 to 5-Nov-205 Reference: PROBA-V_D5_MOR-023_205-_v.0 Author(s): Erwin Wolters, Dennis Clarijs, Sindy Sterckx, Alex Geboers Version:.0 Date: 8//205

More information

Exploiting Virtual Observatory and Information Technology: Techniques for Astronomy

Exploiting Virtual Observatory and Information Technology: Techniques for Astronomy Exploiting Virtual Observatory and Information Technology: Techniques for Astronomy Lecture #6 Goal: VO Workflows Science Usage Nicholas Walton AstroGrid Project Scientist Institute of Astronomy, The University

More information

How to make the most of LHC data

How to make the most of LHC data How to make the most of LHC data low-mass resonances, triggering opportunities Antonio Boveia - CERN Caterina Doglioni - Lund University Matt Strassler 11/05/2016 - KITP plenary Introduction LHC: the biggest

More information

ECMWF Computing & Forecasting System

ECMWF Computing & Forecasting System ECMWF Computing & Forecasting System icas 2015, Annecy, Sept 2015 Isabella Weger, Deputy Director of Computing ECMWF September 17, 2015 October 29, 2014 ATMOSPHERE MONITORING SERVICE CLIMATE CHANGE SERVICE

More information

Essentials of Large Volume Data Management - from Practical Experience. George Purvis MASS Data Manager Met Office

Essentials of Large Volume Data Management - from Practical Experience. George Purvis MASS Data Manager Met Office Essentials of Large Volume Data Management - from Practical Experience George Purvis MASS Data Manager Met Office There lies trouble ahead Once upon a time a Project Manager was tasked to go forth and

More information

An Introduction to ASKAP Bringing Radio Interferometers Into the Multi-pixel Era

An Introduction to ASKAP Bringing Radio Interferometers Into the Multi-pixel Era An Introduction to ASKAP Bringing Radio Interferometers Into the Multi-pixel Era Aidan Hotan and Lisa Harvey-Smith 3 rd October 2014 CSIRO ASTRONOMY AND SPACE SCIENCE Introducing ASKAP The Australian SKA

More information

A NEW SYSTEM FOR THE GENERATION OF UTC(CH)

A NEW SYSTEM FOR THE GENERATION OF UTC(CH) A NEW SYSTEM FOR THE GENERATION OF UTC(CH) L.G. Bernier and G. Schaller METAS Swiss Federal Office of Metrology Lindenweg 50, Bern-Wabern, CH-3003, Switzerland laurent-guy.bernier@metas.ch Abstract A new

More information

AstroPortal: A Science Gateway for Large-scale Astronomy Data Analysis

AstroPortal: A Science Gateway for Large-scale Astronomy Data Analysis AstroPortal: A Science Gateway for Large-scale Astronomy Data Analysis Ioan Raicu Distributed Systems Laboratory Computer Science Department University of Chicago Joint work with: Ian Foster: Univ. of

More information

Using Non Harmonic Analysis (NHA) to reduce the influences of line noises for GW Observatory

Using Non Harmonic Analysis (NHA) to reduce the influences of line noises for GW Observatory The 3rd KAGRA International Workshop (KIW3) Using Non Harmonic Analysis (NHA) to reduce the influences of line noises for GW Observatory DongBao Jia University of Toyama Kenta Yanagisawa, Shigeki Hirobayashi

More information

ArcGIS Deployment Pattern. Azlina Mahad

ArcGIS Deployment Pattern. Azlina Mahad ArcGIS Deployment Pattern Azlina Mahad Agenda Deployment Options Cloud Portal ArcGIS Server Data Publication Mobile System Management Desktop Web Device ArcGIS An Integrated Web GIS Platform Portal Providing

More information

Towards a highly-parallel PDE-Solver using Adaptive Sparse Grids on Compute Clusters

Towards a highly-parallel PDE-Solver using Adaptive Sparse Grids on Compute Clusters Towards a highly-parallel PDE-Solver using Adaptive Sparse Grids on Compute Clusters HIM - Workshop on Sparse Grids and Applications Alexander Heinecke Chair of Scientific Computing May 18 th 2011 HIM

More information

The ATLAS Run 2 Trigger: Design, Menu, Performance and Operational Aspects

The ATLAS Run 2 Trigger: Design, Menu, Performance and Operational Aspects he ALAS Run rigger: Design, Menu, Performance and Operational Aspects, on behalf of the ALAS Collaboration University of Pennsylvania E-mail: jmiguens@cern.ch AL-DAQ-PROC-6-5 5//6 he LHC, at design capacity,

More information

ATLAS EXPERIMENT : HOW THE DATA FLOWS. (Trigger, Computing, and Data Analysis)

ATLAS EXPERIMENT : HOW THE DATA FLOWS. (Trigger, Computing, and Data Analysis) ATLAS EXPERIMENT : HOW THE DATA FLOWS (Trigger, Computing, and Data Analysis) In order to process large volumes of data within nanosecond timescales, the trigger system is designed to select interesting

More information

ArcGIS GeoAnalytics Server: An Introduction. Sarah Ambrose and Ravi Narayanan

ArcGIS GeoAnalytics Server: An Introduction. Sarah Ambrose and Ravi Narayanan ArcGIS GeoAnalytics Server: An Introduction Sarah Ambrose and Ravi Narayanan Overview Introduction Demos Analysis Concepts using GeoAnalytics Server GeoAnalytics Data Sources GeoAnalytics Server Administration

More information

NAOYUKI TAMURA Subaru Instrument Astronomer Subaru Telescope, NAOJ

NAOYUKI TAMURA Subaru Instrument Astronomer Subaru Telescope, NAOJ FMOS status tt report Science workshop 2011.02.2802 28-03.0202 NAOYUKI TAMURA Subaru Instrument Astronomer Subaru Telescope, NAOJ * Overview * Recent history & current status t * Schedule & future plan

More information

The Analysis of Microburst (Burstiness) on Virtual Switch

The Analysis of Microburst (Burstiness) on Virtual Switch The Analysis of Microburst (Burstiness) on Virtual Switch Chunghan Lee Fujitsu Laboratories 09.19.2016 Copyright 2016 FUJITSU LABORATORIES LIMITED Background What is Network Function Virtualization (NFV)?

More information

Quantum ESPRESSO Performance Benchmark and Profiling. February 2017

Quantum ESPRESSO Performance Benchmark and Profiling. February 2017 Quantum ESPRESSO Performance Benchmark and Profiling February 2017 2 Note The following research was performed under the HPC Advisory Council activities Compute resource - HPC Advisory Council Cluster

More information

Multi-Approximate-Keyword Routing Query

Multi-Approximate-Keyword Routing Query Bin Yao 1, Mingwang Tang 2, Feifei Li 2 1 Department of Computer Science and Engineering Shanghai Jiao Tong University, P. R. China 2 School of Computing University of Utah, USA Outline 1 Introduction

More information

Stochastic Modelling of Electron Transport on different HPC architectures

Stochastic Modelling of Electron Transport on different HPC architectures Stochastic Modelling of Electron Transport on different HPC architectures www.hp-see.eu E. Atanassov, T. Gurov, A. Karaivan ova Institute of Information and Communication Technologies Bulgarian Academy

More information

RLW paper titles:

RLW paper titles: RLW paper titles: http://www.wordle.net Astronomical Surveys and Data Archives Richard L. White Space Telescope Science Institute HiPACC Summer School, July 2012 Overview Surveys & catalogs: Fundamental

More information

2.6 Complexity Theory for Map-Reduce. Star Joins 2.6. COMPLEXITY THEORY FOR MAP-REDUCE 51

2.6 Complexity Theory for Map-Reduce. Star Joins 2.6. COMPLEXITY THEORY FOR MAP-REDUCE 51 2.6. COMPLEXITY THEORY FOR MAP-REDUCE 51 Star Joins A common structure for data mining of commercial data is the star join. For example, a chain store like Walmart keeps a fact table whose tuples each

More information

Hall-D Update. Eric Pooser. Joint Hall A/C Summer Collaboration Meeting 07/18/2015

Hall-D Update. Eric Pooser. Joint Hall A/C Summer Collaboration Meeting 07/18/2015 1 Hall-D Update Joint Hall A/C Summer Collaboration Meeting 07/18/2015 Current Hall-D Physics Program 2 Slide Courtesy of E. Chudakov Hybrid & Exotic Hybrid Mesons 3 Conventional light mesons (π, K, η,

More information

Pysynphot: A Python Re Implementation of a Legacy App in Astronomy

Pysynphot: A Python Re Implementation of a Legacy App in Astronomy Pysynphot: A Python Re Implementation of a Legacy App in Astronomy Vicki Laidler 1, Perry Greenfield, Ivo Busko, Robert Jedrzejewski Science Software Branch Space Telescope Science Institute Baltimore,

More information

Hunting for Anomalies in PMU Data

Hunting for Anomalies in PMU Data Hunting for Anomalies in PMU Data BRETT AMIDAN JAMES FOLLUM JEFFERY DAGLE Pacific Northwest National Laboratory NASPI Presentation (October 23, 2014) November 3, 2014 b.amidan@pnnl.gov 1 Big Picture Objective

More information

Scalable Tools for Debugging Non-Deterministic MPI Applications

Scalable Tools for Debugging Non-Deterministic MPI Applications Scalable Tools for Debugging Non-Deterministic MPI Applications ReMPI: MPI Record-and-Replay tool Scalable Tools Workshop August 2nd, 2016 Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Mar>n

More information

DEVELOPMENT OF A DMT MONITOR FOR STATISTICAL TRACKING OF GRAVITATIONAL-WAVE BURST TRIGGERS GENERATED FROM THE OMEGA PIPELINE

DEVELOPMENT OF A DMT MONITOR FOR STATISTICAL TRACKING OF GRAVITATIONAL-WAVE BURST TRIGGERS GENERATED FROM THE OMEGA PIPELINE DEVELOPMENT OF A DMT MONITOR FOR STATISTICAL TRACKING OF GRAVITATIONAL-WAVE BURST TRIGGERS GENERATED FROM THE OMEGA PIPELINE JUNWEI LI Research Institute of Information Technology, Tsinghua University

More information

Some thoughts about energy efficient application execution on NEC LX Series compute clusters

Some thoughts about energy efficient application execution on NEC LX Series compute clusters Some thoughts about energy efficient application execution on NEC LX Series compute clusters G. Wellein, G. Hager, J. Treibig, M. Wittmann Erlangen Regional Computing Center & Department of Computer Science

More information

Synergie PC Updates and Plans. A. Lasserre-Bigorry, B. Benech M-F Voidrot, & R. Giraud

Synergie PC Updates and Plans. A. Lasserre-Bigorry, B. Benech M-F Voidrot, & R. Giraud Synergie PC Updates and Plans A. Lasserre-Bigorry, B. Benech M-F Voidrot, & R. Giraud 1 2 3 4 Introduction Migration to PC-Linux Synergie 4.0 features Perspectives for 2006 ECMWF 10 th Workshop on Meteorological

More information