activity
19972025
most citedSpeeding up Particle Track Reconstruction using a Parallel Kalman Filter Algorithm

15 citations · 39 across the 11 of their papers we have counts for

collaborators

11 papers

cs.DC2025★ 1 cited

Serving LLMs in HPC Clusters: A Comparative Study of Qualcomm Cloud AI 100 Ultra and NVIDIA Data Center GPUs

Mohammad Firas Sada, John J. Graham, Elham E Khoda +7

This study presents a benchmarking analysis of the Qualcomm Cloud AI 100 Ultra (QAic) accelerator for large language model (LLM) inference, evaluating its energy efficiency (throug…

physics.ins-det2020★ 15 cited

Speeding up Particle Track Reconstruction using a Parallel Kalman Filter Algorithm

Steven Lantz, Kevin McDermott, Michael Reid +16

One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is determining the trajectory of charged particles during event…

physics.ins-det2020★ 2 cited

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

Giuseppe Cerati, Peter Elmer, Brian Gravelle +14

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 reconstruct…

physics.ins-det2019

Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Architectures with the CMS Detector

Giuseppe Cerati, Peter Elmer, Brian Gravelle +12

In the High-Luminosity Large Hadron Collider (HL-LHC), one of the most challenging computational problems is expected to be finding and fitting charged-particle tracks during event…

physics.ins-det2019★ 2 cited

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

Giuseppe Cerati, Peter Elmer, Brian Gravelle +13

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…

physics.comp-ph2018

HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation

Lothar Bauerdick, Riccardo Maria Bianchi, Brian Bockelman +26

At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature a…