The following email has been sent to Dr. SALVATORE, Fabrizio:
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Dear Fabrizio Salvatore,
The submission of your abstract has been successfully processed.
Abstract submitted: https://indico.cern.ch/userAbstracts.py?confId=192695.
Status of your abstract: https://indico.cern.ch/abstractDisplay.py?abstractId=71&confId=192695.
See below a detailed summary of your submitted abstract:
Conference: Tipp 2014 - Third International Conference on Technology and Instrumentation in Particle Physics
Submitted by: Dr. SALVATORE, Fabrizio
Submitted on: 29 January 2014 13:50
Title: Evolution of the ReadOut System of the ATLAS experiment
Abstract content The ReadOut System (ROS) is a central and essential part of the ATLAS DAQ system. It receives and buffers data of events accepted by the first-level trigger from all subdetectors and first-level trigger subsystems. Event data are subsequently forwarded to the High-Level Trigger system and Event Builder via a 1 GbE-based network. The ATLAS ROS is completely renewed in view of the demanding conditions ex pected during LHC Run 2 and Run 3, to replace obsolete technologies and space constraints require it to be compact. The new ROS will consist of roughly 100 Linux-based 2U high rack mounted server PCs, each equipped with 2 PCIe I/O cards and two four 10 GbE interfaces. The FPGA-based PCIe I/O cards, developed by the ALICE collaboration, will be configured with ATLAS-specific firmware, the so-called RobinNP firmware. They will provide the connectivity to about 2000 optical point-to-point links conveying the ATLAS event data. This dense configuration provides an excellent test bench for studying I/O efficiency and challenges in current COTS PC architectures with non-uniform memory and I/O access paths. In this paper we will report on the requirements for Run 2 and on design choices for a system complying with and possibly exceeding them, as well as discuss the results of performance measurements for different computer architectures, highlighting the effects of non-uniform resource distributions. Finally we will present the status of the project and outlook for operation in 2015.
Summary
Primary Authors: Dr. SALVATORE, Fabrizio (University of Sussex (GB)) p.fabrizio.salvatore@googlemail.com
Co-authors:
Abstract presenters: Dr. SALVATORE, Fabrizio
Track classification: Data-processing: 3b) Trigger and Data Acquisition Systems
Presentation type: --not specified--
Comments: This abstract is submitted on behalf of the ATLAS TDAQ collaboration and the presenter will be indicated by the ATLAS speakers committee as soon as we receive information about its status.