Explanipedia

Design, Construction, and Testing of the APOLLO ATCA Blades for Use at the HL-LHC Open

A. Akpinar, Aymeric Blaizot, S. Cholak, González Castro, Z. Demiragli , et al. · 2025

The Apollo Advanced Telecommunications Computing Architecture (ATCA) platform is an open-source design consisting of a generic "Service Module" (SM) and a customizable "Command Module" (CM), allowing for cost-effective use in applications …

Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC Open

J. Guiang, Slava Krutelyov, Manos Vourliotis, Yanxi Gu, Avi Yagil , et al. · 2024

In this work, we present a study on ways that tracking algorithms can be improved with machine learning (ML). We base this study on the line segment tracking (LST) algorithm that we have designed to be naturally parallelized and vectorized…

Generalizing mkFit and its Application to HL-LHC Open

G. B. Cerati, P. Elmer, P. Gartung, L. Giannini, M. J. Kortelainen , et al. · 2024

mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both threadand data-level parallelism. In the past few years the project transitioned from the R&D phase to deployment in the Run-3 offline …

Line Segment Tracking in the High-luminosity LHC Open

P. Chang, P. Elmer, Yanxi Gu, V. Krutelyov, Gavin Niendorf , et al. · 2024

The Large Hadron Collider (LHC) will be upgraded to Highluminosity LHC, increasing the number of simultaneous proton-proton collisions (pileup, PU) by several-folds. The harsher PU conditions lead to exponentially increasing combinatorics …

Generalizing mkFit and its Application to HL-LHC Open

G. B. Cerati, P. Elmer, P. Gartung, L. Giannini, M. J. Kortelainen , et al. · 2023

mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. In the past few years the project transitioned from the R&D phase to deployment in the Run-3 offlin…

CTD2022: Line Segment Tracking in the HL-LHC Open

B. V. Sathia Narayanan, Avi Yagil, Bei Wang, E. Vourliotis, M. Tadel , et al. · 2023

The major challenge posed by the high instantaneous luminosity in the High Luminosity LHC (HL-LHC) motivates efficient and fast reconstruction of charged particle tracks in a high pile-up environment. While there have been efforts to use m…

Speeding up the CMS track reconstruction with a parallelized and vectorized Kalman-filter-based algorithm during the LHC Run 3 Open

S. Berkman, G. B. Cerati, P. Elmer, P. Gartung, L. Giannini , et al. · 2023

One of the most challenging computational problems in the Run 3 of the Large Hadron Collider (LHC) and more so in the High-Luminosity LHC (HL-LHC) is expected to be finding and fitting charged-particle tracks during event reconstruction. T…

Segment Linking: A Highly Parallelizable Track Reconstruction Algorithm for HL-LHC Open

P. Chang, P. Elmer, 裕二池谷, V. Krutelyov, G Niendorf , et al. · 2022

The High Luminosity upgrade of the Large Hadron Collider (HL-LHC) will produce particle collisions with up to 200 simultaneous proton-proton interactions. These unprecedented conditions will create a combinatorial complexity for charged-pa…

Segment Linking: A Highly Parallelizable Track Reconstruction Algorithm for HL-LHC Open

P. Chang, P. Elmer, Yanxi Gu, V. Krutelyov, Gavin Niendorf , et al. · 2022

The High Luminosity upgrade of the Large Hadron Collider (HL-LHC) will produce particle collisions with up to 200 simultaneous proton-proton interactions. These unprecedented conditions will create a combinatorial complexity for charged-pa…

Line Segment Tracking in the HL-LHC Open

Gavin Niendorf, Tres Reid, P. Wittich, P. Elmer, Bei Wang , et al. · 2022

The major challenge posed by the high instantaneous luminosity in the High Luminosity LHC (HL-LHC) motivates efficient and fast reconstruction of charged particle tracks in a high pile-up environment. While there have been efforts to use m…

ESSOMM European core curriculum and principles of manual medicine Open

H. Locher, Matteo Bernardotto, Lothar Beyer, Tijen Acarkan, Freerk Barth , et al. · 2022

The Apollo ATCA design for the CMS track finder and the pixel readout at the HL-LHC Open

A. Albert, Z. Demiragli, Daniel Gastler, K. A. Hahn, E. Hazen , et al. · 2022

The challenging conditions of the High-Luminosity LHC require tailored hardware designs for the trigger and data acquisition systems. The Apollo platform features a “Service Module” with a powerful system-on-module computer that provides s…

Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs Open

G. B. Cerati, P. Elmer, Brian Gravelle, M. J. Kortelainen, V. Krutelyov , et al. · 2021

We present results from parallelizing the unpacking and clustering steps of the raw data from the silicon strip modules for reconstruction of charged particle tracks. Throughput is further improved by concurrently processing multiple event…

Parallelization for HEP Reconstruction Open

G. B. Cerati, S. Lantz, K. Mcdermott, M. Carrington Reid, D. Riley , et al. · 2020

in porting existing serial algorithms to many-core devices. Measurements of both data processing and data transfer latency are shown, considering different I/O strategies to/from the parallel devices.

FPGA-based tracking for the CMS Level-1 trigger using the tracklet algorithm Open

E. Bartz, G. Boudoul, Kenyi Hurtado Anampa, Jorge Chaves, D. J. Cranshaw , et al. · 2020

The high instantaneous luminosities expected following the upgrade of the Large Hadron Collider (LHC) to the High-Luminosity LHC (HL-LHC) pose major experimental challenges for the CMS experiment. A central component to allow efficient ope…

The APOLLO ATCA Platform Open

Eric Shearer Hazen, A. Albert, J. Butler, Z. Demiragli, K. D. Finelli , et al. · 2020

We have developed a novel and generic open-source platform - Apollo - which\nsimplifies the design of custom Advanced Telecommunications Computing\nArchitecture (ATCA) blades by factoring the design into generic infrastructure\nand applica…

Theia: an advanced optical neutrino detector Open

M. Askins, Z. Bagdasarian, N. Barros, E. W. Beier, E. Blücher , et al. · 2020

New developments in liquid scintillators, high-efficiency, fast photon detectors, and chromatic photon sorting have opened up the possibility for building a large-scale detector that can discriminate between Cherenkov and scintillation sig…

Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm Open

G. B. Cerati, P. Elmer, Brian Gravelle, M. J. Kortelainen, V. Krutelyov , et al. · 2020

One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruction. Algorithms used at the LHC today rely on Kalman filter…

Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm Open

G. B. Cerati, P. Elmer, Brian Gravelle, M. J. Kortelainen, V. Krutelyov , et al. · 2019

One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruction. Algorithms used at the LHC today rely on Kalman filter…

Speeding up Particle Track Reconstruction in the CMS Detector using a Vectorized and Parallelized Kalman Filter Algorithm Open

G. B. Cerati, P. Elmer, Brian Gravelle, M. J. Kortelainen, V. Krutelyov , et al. · 2019

Building particle tracks is the most computationally intense step of event reconstruction at the LHC. With the increased instantaneous luminosity and associated increase in pileup expected from the High-Luminosity LHC, the computational ch…

Speeding up Particle Track Reconstruction in the CMS Detector using a\n Vectorized and Parallelized Kalman Filter Algorithm Open

G. B. Cerati, P. Elmer, Brian Gravelle, M. J. Kortelainen, V. Krutelyov , et al. · 2019

Building particle tracks is the most computationally intense step of event\nreconstruction at the LHC. With the increased instantaneous luminosity and\nassociated increase in pileup expected from the High-Luminosity LHC, the\ncomputational…

Parallelized and Vectorized Tracking Using Kalman Filters with CMS Detector Geometry and Events Open

G. B. Cerati, P. Elmer, Brian Gravelle, M. J. Kortelainen, V. Krutelyov , et al. · 2018

The High-Luminosity Large Hadron Collider at CERN will be characterized by greater pileup of events and higher occupancy, making the track reconstruction even more computationally demanding. Existing algorithms at the LHC are based on Kalm…

Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Architectures Open

G. B. Cerati, P. Elmer, Slava Krutelyov, Steven Lantz, Matthieu Lefèbvre , et al. · 2018

Faced with physical and energy density limitations on clock speed, contemporary microprocessor designers have increasingly turned to on-chip parallelism for performance gains. Algorithms should accordingly be designed with ample amounts of…

Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on\n Many-Core Architectures Open

G. B. Cerati, P. Elmer, Slava Krutelyov, Steven Lantz, Matthieu Lefèbvre , et al. · 2017

Faced with physical and energy density limitations on clock speed,\ncontemporary microprocessor designers have increasingly turned to on-chip\nparallelism for performance gains. Algorithms should accordingly be designed\nwith ample amounts…

Kalman filter tracking on parallel architectures Open

G. B. Cerati, P. Elmer, S. Krutelyov, S. Lantz, M. Lefebvre , et al. · 2017

\nPower density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGPU, ARM and Intel MIC. In order to achieve the theoretical…

FPGA-Based Tracklet Approach to Level-1 Track Finding at CMS for the HL-LHC Open

E. Bartz, Jorge Chaves, Y. Gershtein, E. Halkiadakis, M. Hildreth , et al. · 2017

During the High Luminosity LHC, the CMS detector will need charged particle tracking at the hardware trigger level to maintain a manageable trigger rate and achieve its physics goals. The tracklet approach is a track-finding algorithm base…

Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Processors and GPUs Open

G. B. Cerati, P. Elmer, Slava Krutelyov, Steven Lantz, Matthieu Lefèbvre , et al. · 2017

For over a decade now, physical and energy constraints have limited clock\nspeed improvements in commodity microprocessors. Instead, chipmakers have been\npushed into producing lower-power, multi-core processors such as GPGPU, ARM and\nInt…

Kalman Filter Tracking on Parallel Architectures Open

G. B. Cerati, P. Elmer, Slava Krutelyov, Steven Lantz, Matthieu Lefèbvre , et al. · 2016

Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGPU, ARM and Intel MIC. In order to achieve the theoretical p…

Kalman Filter Tracking on Parallel Architectures Open

G. B. Cerati, P. Elmer, Steven Lantz, K. Mcdermott, Dan Riley , et al. · 2015

Power density constraints are limiting the performance improvements of modern\nCPUs. To address this we have seen the introduction of lower-power, multi-core\nprocessors, but the future will be even more exciting. In order to stay within\n…

Traditional Tracking with Kalman Filter on Parallel Architectures Open

G. B. Cerati, P. Elmer, Steven Lantz, I. Macneill, K. Mcdermott , et al. · 2015

Power density constraints are limiting the performance improvements of modern CPUs. To address this, we have seen the introduction of lower-power, multi-core processors, but the future will be even more exciting. In order to stay within th…

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