2 citations · 2 across the 2 of their papers we have counts for
5 papers
Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs
Giuseppe Cerati, Peter Elmer, Brian Gravelle +14
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…
Software Challenges For HL-LHC Data Analysis
ROOT Team, Kim Albertsson Brann, Guilherme Amadio +21
The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the centr…
Moving the California distributed CMS xcache from bare metal into containers using Kubernetes
Edgar Fajardo, Matevz Tadel, Justas Balcas +5
The University of California system has excellent networking between all of its campuses as well as a number of other Universities in CA, including Caltech, most of them being conn…
HEP Software Foundation Community White Paper Working Group --- Visualization
Matthew Bellis, Riccardo Maria Bianchi, Sebastien Binet +19
In modern High Energy Physics (HEP) experiments visualization of experimental data has a key role in many activities and tasks across the whole data chain: from detector developmen…
Parallelized and Vectorized Tracking Using Kalman Filters with CMS Detector Geometry and Events
Giuseppe Cerati, Peter Elmer, Brian Gravelle +13
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…