VLVNT Amsterdam 2003 – J. Panman1 DAQ: comparison with an LHC experiment J. Panman CERN VLVNT workshop 7 Oct 2003 Use as example CMS (slides taken from.

Slides:



Advertisements
Similar presentations
O. Buchmueller, Imperial College, W. Smith, U. Wisconsin, UPO Meeting, July 6, 2012 Trigger Performance and Strategy Working Group Trigger Performance.
Advertisements

LHCb Upgrade Overview ALICE, ATLAS, CMS & LHCb joint workshop on DAQ Château de Bossey 13 March 2013 Beat Jost / Cern.
Copyright© 2000 OPNET Technologies, Inc. R.W. Dobinson, S. Haas, K. Korcyl, M.J. LeVine, J. Lokier, B. Martin, C. Meirosu, F. Saka, K. Vella Testing and.
LEB Colmar CMS DAQ overview Data to Surface (D2S) Requirements Topology Hardware implementation Measurements and simulations Readout kit for FE.
The LHCb Event-Builder Markus Frank, Jean-Christophe Garnier, Clara Gaspar, Richard Jacobson, Beat Jost, Guoming Liu, Niko Neufeld, CERN/PH 17 th Real-Time.
Remigius K Mommsen Fermilab A New Event Builder for CMS Run II A New Event Builder for CMS Run II on behalf of the CMS DAQ group.
The LHCb DAQ and Trigger Systems: recent updates Ricardo Graciani XXXIV International Meeting on Fundamental Physics.
CHEP04 - Interlaken - Sep. 27th - Oct. 1st 2004T. M. Steinbeck for the Alice Collaboration1/20 New Experiences with the ALICE High Level Trigger Data Transport.
K. Honscheid RT-2003 The BTeV Data Acquisition System RT-2003 May 22, 2002 Klaus Honscheid, OSU  The BTeV Challenge  The Project  Readout and Controls.
Hall D Trigger and Data Rates Elliott Wolin Hall D Electronics Review Jefferson Lab 23-Jul-2003.
The CMS Level-1 Trigger System Dave Newbold, University of Bristol On behalf of the CMS collaboration.
1 Modelling parameters Jos Vermeulen, 2 June 1999.
S. Cittolin CERN/CMS, 22/03/07 DAQ architecture. TDR-2003 DAQ evolution and upgrades DAQ upgrades at SLHC.
A TCP/IP transport layer for the DAQ of the CMS Experiment Miklos Kozlovszky for the CMS TriDAS collaboration CERN European Organization for Nuclear Research.
“L1 farm: some naïve consideration” Gianluca Lamanna (CERN) & Riccardo Fantechi (CERN/Pisa)
LECC2003 AmsterdamMatthias Müller A RobIn Prototype for a PCI-Bus based Atlas Readout-System B. Gorini, M. Joos, J. Petersen (CERN, Geneva) A. Kugel, R.
Copyright © 2000 OPNET Technologies, Inc. Title – 1 Distributed Trigger System for the LHC experiments Krzysztof Korcyl ATLAS experiment laboratory H.
4 Dec 2006 Testing the machine (X7DBE-X) with 6 D-RORCs 1 Evaluation of the LDC Computing Platform for Point 2 SuperMicro X7DBE-X Andrey Shevel CERN PH-AID.
Network Architecture for the LHCb DAQ Upgrade Guoming Liu CERN, Switzerland Upgrade DAQ Miniworkshop May 27, 2013.
The new CMS DAQ system for LHC operation after 2014 (DAQ2) CHEP2013: Computing in High Energy Physics Oct 2013 Amsterdam Andre Holzner, University.
Management of the LHCb DAQ Network Guoming Liu * †, Niko Neufeld * * CERN, Switzerland † University of Ferrara, Italy.
1 Network Performance Optimisation and Load Balancing Wulf Thannhaeuser.
Event selection and readout Online networks and architectures Online event filter Technologies and trends Computing and communication at LHC.
Overview of DAQ at CERN experiments E.Radicioni, INFN MICE Daq and Controls Workshop.
2003 Conference for Computing in High Energy and Nuclear Physics La Jolla, California Giovanna Lehmann - CERN EP/ATD The DataFlow of the ATLAS Trigger.
SoLiD/PVDIS DAQ Alexandre Camsonne. DAQ limitations Electronics Data transfer.
The CMS Event Builder Demonstrator based on MyrinetFrans Meijers. CHEP 2000, Padova Italy, Feb The CMS Event Builder Demonstrator based on Myrinet.
Data Acquisition, Trigger and Control
DAQ interface + implications for the electronics Niko Neufeld LHCb Electronics Upgrade June 10 th, 2010.
Niko Neufeld HL-LHC Trigger, Online and Offline Computing Working Group Topical Workshop Sep 5 th 2014.
SRB data transmission Vito Palladino CERN 2 June 2014.
LKr readout and trigger R. Fantechi 3/2/2010. The CARE structure.
Management of the LHCb DAQ Network Guoming Liu *†, Niko Neufeld * * CERN, Switzerland † University of Ferrara, Italy.
Pierre VANDE VYVRE ALICE Online upgrade October 03, 2012 Offline Meeting, CERN.
1 Event Building L1&HLT Implementation Review Niko Neufeld, CERN-EP Tuesday, April 29 th.
CODA Graham Heyes Computer Center Director Data Acquisition Support group leader.
DAQ Overview + selected Topics Beat Jost Cern EP.
CPT week May 2003Dominique Gigi CMS DAQ 1.Block diagram 2.Form Factor 3.Mezzanine card (transmitter SLINK64) 4.Test environment 5.Test done 1.Acquisition.
Monitoring for the ALICE O 2 Project 11 February 2016.
PHENIX DAQ RATES. RHIC Data Rates at Design Luminosity PHENIX Max = 25 kHz Every FEM must send in 40 us. Since we multiplex 2, that limit is 12 kHz and.
Remigius K Mommsen Fermilab CMS Run 2 Event Building.
Jos VermeulenTopical lectures, Computer Instrumentation, Introduction, June Computer Instrumentation Introduction Jos Vermeulen, UvA / NIKHEF Topical.
EPS 2007 Alexander Oh, CERN 1 The DAQ and Run Control of CMS EPS 2007, Manchester Alexander Oh, CERN, PH-CMD On behalf of the CMS-CMD Group.
CHEP 2010, October 2010, Taipei, Taiwan 1 18 th International Conference on Computing in High Energy and Nuclear Physics This research project has.
IRFU The ANTARES Data Acquisition System S. Anvar, F. Druillole, H. Le Provost, F. Louis, B. Vallage (CEA) ACTAR Workshop, 2008 June 10.
Data Reduction Schemes for MicroBoone Wu, Jinyuan Fermilab.
CMS DAQ project at Fermilab
HTCC coffee march /03/2017 Sébastien VALAT – CERN.
Electronics Trigger and DAQ CERN meeting summary.
Enrico Gamberini, Giovanna Lehmann Miotto, Roland Sipos
DCH FEE 28 chs DCH prototype FEE &
RT2003, Montreal Niko Neufeld, CERN-EP & Univ. de Lausanne
CMS DAQ Event Builder Based on Gigabit Ethernet
DAQ upgrades at SLHC S. Cittolin CERN/CMS, 22/03/07
Trigger, DAQ, & Online: Perspectives on Electronics
CMS SLHC Calorimeter Trigger Upgrade,
The LHCb Event Building Strategy
VELO readout On detector electronics Off detector electronics to DAQ
Example of DAQ Trigger issues for the SoLID experiment
LHCb Trigger and Data Acquisition System Requirements and Concepts
SVT detector electronics
Hall D Trigger and Data Rates
Event Building With Smart NICs
LHCb Trigger, Online and related Electronics
The CMS Tracking Readout and Front End Driver Testing
August 19th 2013 Alexandre Camsonne
Overview of the new CMS ECAL electronics
SVT detector electronics
The LHCb Front-end Electronics System Status and Future Development
TELL1 A common data acquisition board for LHCb
Presentation transcript:

VLVNT Amsterdam 2003 – J. Panman1 DAQ: comparison with an LHC experiment J. Panman CERN VLVNT workshop 7 Oct 2003 Use as example CMS (slides taken from Cittolin's talk at LHCC) Take numbers floating around this week as typical performance needs

VLVNT Amsterdam 2003 – J. Panman1 Data to shore: links per tower/string1 data rate/link1.6 Gbits/s total data rate640 Gbits/s Comparison of design parameters Take numbers floating around this week as typical performance needs For simplicity: use a “digitized scenario” (waveforms transmitted) Data source: sampling frequency Mhz sampling precision8 bits sample length ns No. OMs10000 No. towers/strings400 Background rate kHz/OM Event organization: “Event” window length10 ms size of data/event800 Mb

VLVNT Amsterdam 2003 – J. Panman1 Data to shore: links per tower/string1 data rate/link1.6 Gbits/s total data rate640 Gbits/s Comparison of design parameters Take numbers floating around this week as typical performance needs For simplicity: use a “digitized scenario” (waveforms transmitted) Data source: sampling frequency Mhz sampling precision8 bits sample length ns No. OMs10000 No. towers/strings400 Background rate kHz/OM Event organization: “Event” window length10 ms size of data/event800 Mb Data to surface: Average event size1 Mbyte No. FED S-link64 ports700 DAQ links (2.5 Gb/s) Event fragment size2 kB FED builders (8x8 dual)64 Technology(2004)Myrinet Total data rate: total data rate800 Gbits/s CMS

VLVNT Amsterdam 2003 – J. Panman1 Credits slides taken from Cittolin's talk at LHCC

VLVNT Amsterdam 2003 – J. Panman1 Front end Desktop/Server current architecture Peripheral IObus PCI: 33/66 MHz x 32/64 bit 100/200/400 MB/s Pxx MEM Pxx 264 MB/s GByte memory MultiProcessor PCI 264 MB/s Dual PCI 1990' PCI Pxx SIO MEM 200X: PCI-X … FE digitizer Data from a string DSP-like operation: filter produces time&charge from waveform assume 8 bytes to encode (reduction x3) Data from a string Readout network

VLVNT Amsterdam 2003 – J. Panman1 Network configurations EVB staging by switch expansion: FED -> FE digitizer

VLVNT Amsterdam 2003 – J. Panman1 CMS – 2 stages: Data to surface & Readout Builder Readout Builder (up to 8) 64x64 x 2.5 Gb/s switch Event rate 12.5 kHz 2 kByte 16 kByte Data to surface (rate decimation) FED Builder (64 units) 8x8 x 5 Gb/s switch Event fragments merger

VLVNT Amsterdam 2003 – J. Panman1 CMS – DAQ staging : 2 RBs = 25 kHz FED Builders Programmed to send events to two output (odd and even EvNo.) Data to surface (rate decimation) Readout Builders (modular staging)

VLVNT Amsterdam 2003 – J. Panman1 CMS – DAQ staging : 8 RBs = 100 kHz Data to surface (rate decimation) Readout Builders (modular staging)

VLVNT Amsterdam 2003 – J. Panman1 CMS – 3-D DAQ implementations and scaling Readout Builders (x8): Lv-1 max. trigger rate12.5 kHz RU Builder (64x64).125 Tbit/s Event fragment size16 kB RU/BU systems64 Event filter power10 5 SI95 EVB technology (2006)Open Data to surface: Average event size1 Mbyte No. FED S-link64 ports700 DAQ links (2.5 Gb/s) Event fragment size2 kB FED builders (8x8 dual)64 Technology(2004)Myrinet

VLVNT Amsterdam 2003 – J. Panman1 Comparison of numbers Total data rate of km3 detector similar to an LHC detector after the L1 trigger Number of data sources similar to number of FE Digitizers Waveform filtering (if possible) reduces the data volume by factor 3 Moore's law will help by factor 4-8 compared to LHC Output rate of HLT farm in km3 (presumably) much lower than 100 Hzx1Mb Probably data storage problem much smaller than LHC HLT processing time/byte looks to be smaller than at LHC (LHC has to reject real physics events)

VLVNT Amsterdam 2003 – J. Panman1 Summary DAQ architecture of LHC experiments can be a useful starting point for a design Similar techniques, but probably smaller requirements A couple of years later: profit from experience profit from performance/price ratio trend At a first glance the DAQ does look feasable