2023-03-27 15:01 |
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2023-03-27 15:01 |
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2023-03-27 15:00 |
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2023-03-27 15:00 |
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2023-03-27 15:00 |
Implementing Machine Learning inference on FPGAs from software to hardware using hls4ml
/ Lorusso, Marco (INFN, Bologna ; Bologna U.)
/CMS Collaboration
In the past few years, using Machine and Deep Learning techniques has become more and more viable, thanks to the availability of tools which allow people without specific knowledge in the realm of data science and complex networks to build AIs for a variety of research fields in the context of High Energy Physics, new algorithms based on ML are being tested for event selection in trigger operations, end-user physics analysis, and more. Time critical applications can benefit from implementing algorithms on low-latency hardware like specifically designed ASICs and programmable micro-electronics devices known as FPGAs. [...]
CMS-CR-2023-019.-
Geneva : CERN, 2023 - 7 p.
Fulltext: PDF;
In : 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022
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2023-03-20 11:32 |
Development of a DAQ system for the CMS ECAL Phase 2 recommissioning
/ Chiusi, Marco (Ecole Polytechnique)
/CMS Collaboration
In view of the High-Luminosity phase of the Large Hadron Collider (LHC), in the barrel region of the CMS electromagnetic calorimeter (ECAL) the entire readout electronics will be replaced to cope with the more stringent requirements in terms of trigger latency, acquisition rate, and radiation and pileup resilience.
The configuration sequence for the new on-detector electronics, involving both the improved very-front-end and front-end cards, is reported. The sequence of commands and parameters to load in the electronics is controlled by a software developed at CERN by the ECAL upgrade group and it will be the base on which to build the new data acquisition system (DAQ)..
CMS-CR-2023-012.-
Geneva : CERN, 2023 - 5 p.
Fulltext: PDF;
In : 108th Congresso Nazionale della Societa Italiana di Fisica (SIF 2022), Milan, Italy, 12 - 16 Sep 2022
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2023-03-20 11:20 |
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2023-03-20 11:20 |
The Level 1 Scouting system of the CMS experiment
/ James, Thomas Owen (CERN)
/CMS Collaboration
A novel data collection system, known as Level-1 (L1) Scouting, is being introduced as part of the L1 trigger of the CMS experiment at the CERN Large Hadron Collider. The L1 trigger of CMS, implemented in FPGA-based hardware, selects events at 100 kHz for full read-out, within a short 3~microsecond latency window. [...]
CMS-CR-2023-024.-
Geneva : CERN, 2023 - 8 p.
Fulltext: PDF;
In : 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022
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2023-03-20 11:20 |
The Level-1 Global Trigger for Phase-2 Algorithms, configuration and integration in the CMS offline framework
/ Bortolato, Gabriele (INFN, Padua ; Padua U.) ; Cepeda, Maria Luisa (Madrid, CIEMAT) ; Heikkilae, Jaana Kristiina (Zurich U.) ; Huber, Benjamin (CERN) ; Leutgeb, Elias (CERN) ; Rabady, Dinyar Sebastian (CERN) ; Sakulin, Hannes (CERN)
/CMS Collaboration
For the High-Luminosity Large Hadron Collider (HL-LHC) operation, the Compact Muon Solenoid will undergo a significant upgrade and redesign. An upgraded Level-1 Trigger system, based on multiple types of custom processing boards equipped with Xilinx Ultrascale+ Field Programmable Gate Arrays (FPGAs), will exploit fine grained information from the detector subsystems (calorimeter, muon systems and the silicon-strip tracker). [...]
CMS-CR-2023-022.-
Geneva : CERN, 2023 - 6 p.
Fulltext: PDF;
In : 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022
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2023-03-13 11:04 |
Offline Primary Vertex Reconstruction for Heterogeneous Architectures
/ Pizzati, Giorgio (INFN, Milan Bicocca) ; Di Florio, Adriano (INFN, Bari ; Bari Polytechnic) ; Erice Cid, Carlos Francisco (Boston U.) ; Sperka, David Michael (Boston U.)
/CMS Collaboration
As the Large Hadron Collider (LHC) enters its future development phase, one of the key objectives is to increase its nominal luminosity, with the ultimate aim of achieving peak luminosities that would lead to up to 200 simultaneous proton collisions (pileup), presenting substantial hurdles for the CMS detector reconstruction process.
The process of reconstructing the primary vertex (PV) in CMS involves two steps, namely vertex finding and fitting. Initially, the tracks originating from the same interaction vertex are clustered using the Deterministic Annealing algorithm. [...]
CMS-CR-2023-018.-
Geneva : CERN, 2023 - 6 p.
Fulltext: PDF;
In : 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022
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