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CERN Document Server Sök i 301 journaler efter:  1 - 10nästaslut  gå till journal: Sökningen tog 0.60 sekunder. 
1.
AthXRT: Centralized FPGA Management for Accelerated Algorithms in Athena / Berthet, Quentin (Universite de Geneve (CH))
The integration of FPGAs as heterogeneous hardware accelerators in high-performance computing environments, such as the Athena framework used in the ATLAS experiment, presents significant opportunities for algorithm ac- celeration. [...]
ATL-DAQ-PROC-2025-002. - 2025 - 5.
Original Communication (restricted to ATLAS) - Full text
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2.
QDIPS: Deep Sets Network for FPGA investigated for high speed inference on ATLAS / Antel, Claire (Universite de Geneve (CH)) /ATLAS Collaboration
Deep sets network architectures have useful applications in finding correlations in unordered and variable length data input, thus having the interesting feature of being permutation invariant. Its use on FPGA would open up accelerated machine learning in areas where the input has no fixed length or order, such as inner detector hits for clustering or associated particle tracks for jet tagging. [...]
ATL-DAQ-SLIDE-2024-616.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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3.
AthXRT: Centralized FPGA Management for Accelerated Algorithms in Athena / Berthet, Quentin (Universite de Geneve (CH)) /ATLAS Collaboration
The AthXRT service offers a centralized solution for managing FPGA configurations within the Athena framework. Designed to streamline the handling of AMD FPGAs, AthXRT efficiently manages the loading of FPGA configuration files (XCLBINs) during Athena’s initialization. [...]
ATL-DAQ-SLIDE-2024-615.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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4.
Online track reconstruction with graph neural networks on FPGAs for the ATLAS experiment / Dittmeier, Sebastian (Heidelberg University (DE)) ; ATLAS Collaboration /ATLAS Collaboration
For the HL-LHC upgrade of the ATLAS TDAQ system, a heterogeneous computing farm deploying GPUs and/or FPGAs is under study, together with the use of modern machine learning algorithms such as Graph Neural Networks (GNNs). We present a study on the reconstruction of tracks in the ATLAS Inner Tracker using GNNs on FPGAs for the Event Filter system. [...]
ATL-DAQ-SLIDE-2024-614.- Geneva : CERN, 2024 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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5.
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs / Sur, Nairit (Centre National de la Recherche Scientifique (FR))
The high luminosity upgrade of the LHC (HL-LHC) will see a massive increase in the instantaneous luminosity leading to up to 200 proton-proton collisions in each bunch crossing (pileup) demanding higher performance from the LHC detectors' electronics and real-time data processing. [...]
ATL-LARG-PROC-2024-003. - 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
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6.
LHC abort gap monitor electronics upgrade / Pacner, Petr (CERN) ; Belohrad, David (CERN) ; Martin Nieto, Miguel (CERN) ; Mazzoni, Stefano (CERN) ; Bart Pedersen, Stephane (CERN)
The LHC Abort Gap Monitor (AGM) is part of the LHC machine protection system (MPS) and is designed to measure the particle population in a 3µs wide region known as the "abort gap." This region needs to be kept empty to ensure safe beam dumps. The AGM captures the synchrotron light generated in the visible part of the spectra and converts it into an electric signal. [...]
2024 - 4 p. - Published in : JACoW IPAC 2024 (2024) TUPR78 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.TUPR78
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7.
The ATLAS Trigger System / Oliveira Damazio, Denis (Brookhaven)
The ATLAS experiment in the LHC Run 3 uses a two-level trigger system to select events of interest to reduce the 40 MHz bunch crossing rate to a recorded rate of up to 3 kHz of fully- built physics events. [...]
ATL-DAQ-PROC-2024-015. - 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
Detaljerad journal - Similar records - 5 comments
8.
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs / Sur, Nairit (Centre National de la Recherche Scientifique (FR)) /ATLAS Collaboration
The Phase-II upgrade of the LHC will increase its instantaneous luminosity by a factor of 7 leading to the High Luminosity LHC (HL-LHC). At the HL-LHC, the number of proton-proton collisions in one bunch crossing (called pileup) increases significantly, putting more stringent requirements on the LHC detectors electronics and real-time data processing capabilities. [...]
ATL-LARG-SLIDE-2024-404.- Geneva : CERN, 2024 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 42nd International Conference on High Energy Physics (ICHEP 2024), Prague, Czech Republic, 18 - 24 Jul 2024
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9.
Comparison of HLS and RTL Implementation of a Switch Matrix / Trajkovski, Filip ; Barrios De Leon, Gabriel Alberto
This report presents a detailed comparison between High-Level Synthesis (HLS) and Register Transfer Level (RTL) implementations of a sparse Switch Matrix, a critical component in FPGA designs used within the Liquid Argon Calorimeter (LAr) system of the ATLAS experiment at CERN. [...]
CERN-STUDENTS-Note-2024-104. - 2024
Access to fulltext
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10.
CMS iRPC FEB development and validation / CMS Muon Collaboration
In view of the High Luminosity upgrade of the CERN LHC, the forward CMS Muon spectrometer will be extended with two new stations of improved Resistive Plate Chambers (iRPC) covering the pseudorapidity range from 1.8 to 2.4. Compared to the present RPC system, the gap thickness is reduced to lower the avalanche charge, and an innovative 2D strip readout geometry is proposed. [...]
2024 - 6 p. - Published in : Nucl. Instrum. Methods Phys. Res., A 1064 (2024) 169400 Fulltext: PDF;
In : 16th Workshop on Resistive Plate Chambers and Related Detectors (RPC 2022), CERN, Geneva, Switzerland, 26-30 Sep 2022, pp.169400
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