624704 SzGeCERN 20031027164727.0 ATL-DAQ-2003-005 eng Kolos, S Online Monitoring software framework in the ATLAS experiment Geneva CERN 30 May 2003 6 p added file OnlMonSlides-CHEP03.ppt submitted on 2003-06-23 11:46:14 A fast, efficient and comprehensive monitoring system is a vital part of any HEP experiment. This paper describes the software framework that will be used during ATLAS data taking to monitor the state of the data acquisition and the quality of physics data in the experiment. The framework has been implemented by the Online Software group of the ATLAS Trigger&Data Acquisition (TDAQ) project and has already been used for several years in the ATLAS test beams at CERN. The inter-process communication in the framework is implemented via CORBA, which provides portability between different operating systems and programming languages. This paper will describe the design and the most important aspects of the online monitoring framework implementation. It will also show some test results, which indicate the performance and scalability of the current implementation. CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques CERN ATLAS TDAQ CERN monitoring CERN Information Service CERN Message Reporting CERN LHC ATLAS Amorim, A Alexandrov, I Badescu, E Barczyk, M Burckhart-Chromek, D Caprini, M Da Silva Conceicao, J Dobson, M Flammer, J Hart, R Jones, R Kazarov, A Klose, D Kotov, V Liko, D Lima, J Lucio, L Mapelli, L Mineev, M Pedro, L Ryabov, Yu Soloviev, I Wolters, H EP CHEP 2003 Computing in High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-005 Access to fulltext ATL-COM-DAQ-2003-031 29 20040219 1416 WAI01 20030623 LaJolla,California20030324 PUBLIC 000011932WAI DUMMY DELETED 622247 SzGeCERN 20031027164637.0 ATL-DAQ-2003-010 eng Wheeler, S Supervision of the ATLAS High Level Trigger System Geneva CERN 27 May 2003 6 p The ATLAS High Level Trigger (HLT) system provides software-based event selection after the initial LVL1 hardware trigger. It is composed of two stages, the LVL2 trigger and the Event Filter. The HLT is implemented as software tasks running on large processor farms. An essential part of the HLT is the supervision system, which is responsible for configuring, coordinating, controlling and monitoring the many hundreds of processes running in the HLT. A prototype implementation of the supervision system, using tools from the ATLAS Online Software system is presented. Results from scalability tests are also presented where the supervision system was shown to be capable of controlling over 1000 HLT processes running on 230 nodes. CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques CERN ATLAS CERN Trigger CERN Supervision CERN LHC ATLAS Flammer, J Meessen, C Qian, Z Touchard, F Negri, A Zobernig, G EP CHEP 2003 Computing in High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-010 Access to fulltext ATL-COM-DAQ-2003-027 29 20040219 1416 WAI01 20030618 LaJolla,California2003 0324 PUBLIC 000011923WAI DUMMY DELETED 622032 SzGeCERN 20031027164618.0 ATL-DAQ-2003-003 eng cs.NI/0305064 on www.arXiv.org Stancu, S The use of Ethernet in the DataFlow of the ATLAS Trigger & DAQ Geneva CERN 30 May 2003 10 p The article has been uploaded to the arXiv server: www.arXiv.org The article analyzes a proposed network topology for the ATLAS DAQ DataFlow, and identifies the Ethernet features required for a proper operation of the network: MAC address table size, switch performance in terms of throughput and latency, the use of Flow Control, Virtual LANs and Quality of Service. We investigate these features on some Ethernet switches, and conclude on their usefulness for the ATLAS DataFlow network CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques CERN DataFlow network CERN Ethernet switches CERN throughput CERN latency CERN MAC address table CERN VLANs CERN Flow Control CERN QoS CERN LHC ATLAS Ciobotaru, M Dobinson, B Krzystztof, K Knezo, E EP CHEP 2003 Computing in High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-003 Access to fulltext ATL-COM-DAQ-2003-026 29 20040219 1416 WAI01 20030617 LaJolla,California200303 * 24 PUBLIC 000011922WAI DUMMY DELETED 628661 SzGeCERN 20031013111408.0 ATL-DAQ-2003-031 eng Comune, G The Algorithm Steering and Trigger Decision mechanism of the ATLAS High Level Trigger Geneva CERN 03 Jun 2003 PAPER SUBMITTED TO CHEP 2003 Given the extremely high output rate foreseen at LHC and the general-purpose nature of ATLAS experiment, an efficient and flexible way to select events in the High Level Trigger is needed. An extremely flexible solution is proposed that allows for early rejection of unwanted events and an easily configurable way to choose algorithms and to specify the criteria for trigger decisions. It is implemented in the standard ATLAS object-oriented software framework, Athena. The early rejection is achieved by breaking the decision process down into sequential steps. The configuration of each step defines sequences of algorithms which should be used to process the data, and 'trigger menus' that define which physics signatures must be satisfied to continue on to the next step, and ultimately to accept the event. A navigation system has been built on top of the standard Athena transient store (StoreGate) to link the event data together in a tree-like structure. This is fundamental to the seeding mechanism, by which data from one step is presented to the next. The design makes it straightforward to utilize existing off-line reconstruction data classes and algorithms when they are suitable CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques CERN ATLAS CERN Trigger CERN Decision CERN Step CERN Steering CERN PESA CERN LHC ATLAS Corso-Radu, A Elsing, M Grothe, M Schoerner-Sadenius, T Wicke, D George, S Lowe, A Shears, T Baines, J T Gonzalez, S EP CHEP 2003 Computing in High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-031 Access to fulltext ATL-COM-DAQ-2003-051 29 20040219 1416 WAI01 20030715 LaJolla,California20030324 PUBLIC 000011984WAI DUMMY DELETED 621385 20040105 1505 WAI01 20040105 000011906WAI DELETED 621070 SzGeCERN 20031027164451.0 ATL-DAQ-2003-030 eng Grothe, M. Architecture of the ATLAS High Level Trigger Event Selection Software Geneva CERN 12 Jun 2003 10 p Proceedings for a plenary talk given on behalf of the ATLAS HLT group The ATLAS High Level Trigger (HLT) consists of two selection steps: the second level trigger and the event filter. Both will be implemented in software, running on mostly commodity hardware. Both levels have a coherent approach to event selection, so a common core software framework has been designed to maximize this coherency, while allowing sufficient flexibility to meet the different interfaces and requirements of the two different levels. The approach is extended further to allow the software to run in an off-line simulation and reconstruction environment for the purposes of development. This paper describes the architecture and high level design of the software. CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques CERN LHC ATLAS EP CHEP 2003 Computing in High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-030 Access to fulltext ATL-COM-DAQ-2003-016 29 20040219 1416 WAI01 20030612 LaJolla,California2003 0324 PUBLIC 000011902WAI DUMMY DELETED 620643 SzGeCERN 20031027164433.0 ATL-DAQ-2003-034 eng Boisvert, V A New Implementation of the Region-of-Interest Strategy for the ATLAS Second Level Trigger Geneva CERN 11 Jun 2003 6 p Among the many challenges presented by the future ATLAS detector at the LHC are the high data taking rate and volume and the derivation of a rapid trigger decis ion with limited resources. To address this challenge within the ATLAS second le vel trigger system, a Region-of-Interest mechanism has been adopted which dramat ically reduces the relevant fiducial volume necessary to be readout and processe d to small regions guided by the hardware-based first level trigger. Software ha s been developed to allow fast translation between arbitrary geometric regions a nd identifiers of small collections of the event data. This facilitates on-deman d data retrieval and collection building. The system is optimized to minimize th e amount of data transferred and unnecessary building of complex objects. Detail s of the design and implementation are presented along with preliminary performa nce results. CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques Region-of-Interest CERN Region-of-Interest Region Selector CERN Region Selector CERN LHC ATLAS Armstrong, S Baines, J Brandt, S Elsing, M George, S Li, W Mello, A. G. EP CHEP 2003 Computing in High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-034 Access to fulltext ATL-COM-DAQ-2003-015 29 20040219 1416 WAI01 20030611 LaJolla,California20030324 PUBLIC 000011900WAI DUMMY DELETED 623714 SzGeCERN 20031027164657.0 ATL-DAQ-2003-013 eng Baines, J.T. An Overview of the ATLAS High Level Trigger Dataflow and Supervision Geneva CERN 18 Jun 2003 The ATLAS High Level Trigger (HLT) system provides software-based event selection after the initial LVL1 hardware trigger. It is composed of two stages, the LVL2 trigger and the Event Filter (EF). The LVL2 trigger performs event selection with optimized algorithms using selected data guided by Region of Interest pointers provided by the LVL1 trigger. Those events selected by LVL2, are built into complete events, which are passed to the EF for a further stage of event selection and classification using off-line algorithms. Events surviving the EF selection are passed for off-line storage. The two stages of HLT are implemented on processor farms. The concept of distributing the selection process between LVL2 and EF is a key element in the architecture, which allows it to be flexible to changes (luminosity, detector knowledge, background conditions etc.) Although there are some differences in the requirements between these sub-systems there are many commonalities. An overview of the dataflow (event selection) and supervision (control, configuration, monitoring) activities in the HLT is given, highlighting where commonalities between the two sub-systems can be exploited and indicating where requirements dictate that implementations differ. An HLT prototype system has been built at CERN. Functional testing is being carried out in order to validate the HLT architecture. CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques CERN ATLAS CERN Trigger CERN HLT CERN Dataflow CERN Supervision CERN Overview CERN LHC ATLAS Bee, C.P. Bogaerts, A. Bosman, M. Botterill, D. Caron, B. dos Anjos, A. Etienne, F. González, S. Karr, K. Li, W. Meessen, C. Merino, G. Negri, A. Pinfold, J.L. Pinto, P. Qian, Z. Touchard, F. Werner, P. Wheeler, S. Wickens, F.J. Wiedenmann, W. Zobernig, G. EP RT 2003 13th IEEE-NPSS Real Time Conference http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-013 Access to fulltext ATL-COM-DAQ-2003-028 29 20040219 1416 WAI01 20030618 Montréal,Canada20030518 PUBLIC 000011925WAI DUMMY DELETED 621754 SzGeCERN 20031027164601.0 ATL-DAQ-2003-009 eng LeVine, M. J. Validation of the ATLAS Trigger/DAQ Network architecture using hardware data emulators Geneva CERN 16 May 2003 Hardware data emulators are used to deploy a large-scale model of the ATLAS Data Acquisition architecture. The emulators, based on FPGAs and on the Alteon Gigabit Ethernet NIC, are described, and their performance determined. The emulators are used in the large-scale test bed; sample results are presented. CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques Real-time CERN Real-time ATLAS CERN ATLAS Data Acquisition CERN Data Acquisition Networks CERN Networks Emulation CERN Emulation CERN LHC ATLAS Stancu, S. Haeberli, Ch. Tremblet, L. Beuran, R. Meirosu, C. Dobinson, R.W. Martin, B. Knezo, E. Beck, H.-P. Hauser, R. Botterill, D. EP RT 2003 13th IEEE-NPSS Real Time Conference http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-009 Access to fulltext ATL-COM-DAQ-2003-023 29 20040219 1416 WAI01 20030616 Montreal20030519 PUBLIC 000011913WAI DUMMY DELETED 621753 SzGeCERN 20031027164542.0 ATL-DAQ-2003-008 eng Stancu, S. Network Performance Investigation for the ATLAS Trigger/DAQ Geneva CERN 19 May 2003 Hardware data emulators are used to deploy a large-scale model of the ATLAS Data Acquisition architecture. The emulators, based on FPGAs and on the Alteon Gigabit Ethernet NIC, are described, and their performance determined. The emulators are used in the large-scale test bed; sample results are presented CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques ATLAS CERN ATLAS Data acquisition CERN Data acquisition networks CERN networks emulation CERN emulation Real-time CERN Real-time CERN LHC ATLAS Haeberli, Ch. Ciobotaru, M. LeVine, M.J. Beuran, R. Meirosu, C. Dobinson, R.W. Martin, B. Knezo, E. Zurek, M. Beck, H.-P. Group, on behalf of the ATLAS Data Collection EP RT 2003 13th IEEE-NPSS Real Time Conference http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-008 Access to fulltext ATL-COM-DAQ-2003-022 29 20040219 1416 WAI01 20030616 Montreal20030519 PUBLIC 000011912WAI DUMMY DELETED 621381 SzGeCERN 20031015152248.0 ATL-DAQ-2003-007 eng hep-ex/0306031 Gadomski, S Experience with multi-threaded C++ applications in the ATLAS DataFlow software Geneva CERN 13 Jun 2003 Paper and talk for the CHEP03 conference. The DataFlow is sub-system of the ATLAS data acquisition responsible for the reception, buffering and subsequent movement of partial and full event data to the higher level triggers: Level 2 and Event Filter. The design of the software is based on OO methodology and its implementation relies heavily on the use of posix threads and the Standard Template Library. This article presents our experience with Linux, posix threads and the Standard Template Library in the real time environment of the ATLAS data flow. CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques CERN ATLAS CERN DAQ CERN DataFlow CERN C++ CERN threads CERN LHC ATLAS Beck, H P Univ. Bern Haeberli, C Univ. Bern Perez Reale, V Univ. Bern Abolins, M Michigan State Univ. East Lansing Ermoline,Y Michigan State Univ. East Lansing Hauser, R Michigan State Univ. East Lansing Dos Anjos, A Univ., Fed. Rio de Janeiro Losada Maia, M Univ. Fed. Rio de Janeiro Barisonzi, M NIKHEF Amsterdam Boterenbrood, H NIKHEF Amsterdam Jansweijer, P NIKHEF Amsterdam Kieft, G NIKHEF Amsterdam Vermeulen, J NIKHEF Amsterdam Beretta, M LNF Frascati Ferrer, M L LNF Frascati Liu, W LNF Frascati Blair, R Argonne Nat. Lab. Argonne Dawson, J Argonne Nat. Lab. Argonne Schlereth, J Argonne Nat. Lab. Argonne Bogaerts, J CERN Ciobotaru, M CERN Palencia Cortezon, E CERN DiGirolamo, B CERN Dobinson, R CERN Francis, D CERN Gameiro, S CERN Golonka, P CERN Gorini, B CERN Gruwe, M CERN Lehmann, G CERN Haas, S CERN Joos, M CERN Knezo, E CERN Maeno, T CERN Mapelli, L CERN Martin, B CERN MacLaren, R CERN Meirosu, C CERN Mornacchi, G CERN Papadopoulus, I CERN Petersen, J CERN de Matos Lopes Pinto, P CERN Prigent, D CERN Spiwoks, R CERN Stancu, S CERN Tremblet, L CERN Werner, P CERN Botterill, D RAL Chilton Wickens, F RAL Chilton Cranfield, R Univ. Coll. London Crone, G Univ. Coll. London Green, B Univ. London Misiejuk, A Univ. London Strong, J Univ. London Hasegawa, Y Shinshu Univ. Matsumoto Hughes-Jones, R Univ. Manchester Kaczmarska, A Henryk Niewodniczanski Inst. Nucl. Phys. Cracow Korcyl, K Henryk Niewodniczanski Inst. Nucl. Phys. Cracow Zurek, M Henryk Niewodniczanski Inst. Nucl. Phys. Cracow Kugel, M Univ. Mannheim Müller, M Univ. Mannheim Hinkelbein, C Univ. Mannheim Yu, M Univ. Mannheim Lankford, A Univ. Calif., Irvine Mommsen, R Univ. Calif., Irvine LeVine, M BNL Nagasaka, Y Hiroshima Inst. Tech. Nakayoshi, K KEK Tsukuba Yasu, Y KEK Tsukuba Shimojima, M Nagasaki, Inst. Appl. Sci. Nagasaki Zobernig, G Univ. Wisconsin Madison EP CHEP 2003 Computing in High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-007 Access to fulltext ATL-COM-DAQ-2003-017 29 20040219 1416 WAI01 20030613 LaJolla,California20030324 PUBLIC 000011905WAI DUMMY DELETED 620998 SzGeCERN 20031015150707.0 ATL-CONF-2003-003 ATL-DAQ-2003-029 eng Armstrong, S. An Overview of Algorithms for the ATLAS High Level Trigger Geneva CERN 09 Jun 2003 7 p revised version number 1 submitted on 2003-06-26 14:59:28 Following rigorous software design and analysis methods, an object-based architecture has been developed to derive the second- and third-level trigger decisions for the future ATLAS detector at the LHC. The functional components within this system responsible for generating elements of the trigger decisions are algorithms running within the software architecture. Relevant aspects of the architecture are reviewed along with concrete examples of specific algorithms. CERN EDS SzGeCERN Conference talks on ATLAS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques Algorithms CERN Algorithms Online CERN Online PESA CERN PESA HLT CERN HLT Level 2 CERN Level 2 Event Filter CERN Event Filter CERN LHC ATLAS (ATLAS HLT Group, for the) EP RT 2003 13th IEEE-NPSS Real Time Conference http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=conf-2003-003 Access to fulltext ATL-COM-CONF-2003-005 29 20040219 1416 WAI01 20030612 Montreal,Quebec,Canada20030518 PUBLIC 000011901WAI DUMMY DELETED 640307 20040105 1505 WAI01 20040105 000012093WAI DELETED 620127 20040105 1505 WAI01 20040105 000011887WAI DELETED 620642 20040105 1505 WAI01 20040105 000011899WAI DELETED 628662 20040105 1505 WAI01 20040105 000011985WAI DELETED 647874 SzGeCERN 20031013111619.0 ATL-COM-DAQ-2003-052 eng Garvey, J. The ATLAS Level-1 Calorimeter Trigger Architecture Geneva CERN 31 May 2003 5 p The architecture of the ATLAS Level-1 Calorimeter Trigger system (L1Calo) is presented. Common approaches have been adopted for data distribution, result merging, readout, and slow control across the three different subsystems. A significant amount of common hardware is utilized, yielding substantial savings in cost, spares, and development effort. A custom, high-density backplane has been developed with data paths suitable for both the em/tt cluster processor (CP) and jet/energy-summation processor (JEP) subsystems. Common modules also provide interfaces to VME, CANbus and the LHC Timing, Trigger and Control system (TTC). A common data merger module (CMM) uses FPGAs with multiple configurations for summing electron/photon and tau/hadron cluster multiplicities, jet multiplicities, or total and missing transverse energy. The CMM performs both crate- and system-level merging. A common, FPGA-based readout driver (ROD) is used by all of the subsystems to send input, intermediate and output data to the data acquisition system (DAQ), and region-of-interest (RoI) data to the level-2 triggers. Extensive use of FPGAs throughout the system makes the trigger flexible and upgradeable, and several architectural choices have been made to reduce the number of inter-crate links and make the hardware more robust. CERN EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques CERN trigger CERN calorimeter CERN FPGA CERN Level-1 CERN ATLAS CERN pipeline CERN LHC ATLAS Hillier, S. Mahout, G. Moye, T. H. Staley, R. J. Watkins, P.M. Watson, A. Achenbach, R. Hanke, P. Kluge, E-E. Meier, K. Meshkov, P. Nix, O. Penno, K. Schmitt, K. Ay, C. Bauss, B. Dahlhoff, A. Jakobs, K. Mahboubi, K. Schäfer, U. Trefzger, T. Eisenhandler, E. Landon, M. Moyse, E. Thomas, J. Apostoglou, P. Barnett, B. M. Brawn, I.P. Davis, A.O. Edwards, J. Gee, C. N. P. Gillman, A. R. Perera, V. J. O. Qian, W. Bohm, C. Hellman, S. Hidvégi, A. Silverstein, S. EP RT 2003 13th IEEE-NPSS Real Time Conference silver@physto.se http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Communication&id=com-daq-2003-052 Access to fulltext document n 200331 2003 90 20031013 1116 WAI01 20030730 Montréal,Canada20030518 PUBLIC 000012000WAI01 INTNOTEATLASPRIV 620620 20040105 1505 WAI01 20040105 000011893WAI DELETED