74 citations · 180 across the 19 of their papers we have counts for
20 papers
Evaluating Application Characteristics for GPU Portability Layer Selection
Mohammad Atif, Meghna Bhattacharya, Mark Dewing +12
GPUs have become the dominant source of computing power for high performance computing and are increasingly being used across the High Energy Physics computing landscape for a wide…
Exploring code portability solutions for HEP with a particle tracking test code
Hammad Ather, Sophie Berkman, Giuseppe Cerati +10
Traditionally, high energy physics (HEP) experiments have relied on x86 CPUs for the majority of their significant computing needs. As the field looks ahead to the next generation…
Application of performance portability solutions for GPUs and many-core CPUs to track reconstruction kernels
Ka Hei Martin Kwok, Matti Kortelainen, Giuseppe Cerati +11
Next generation High-Energy Physics (HEP) experiments are presented with significant computational challenges, both in terms of data volume and processing power. Using compute acce…
Generalizing mkFit and its Application to HL-LHC
Giuseppe Cerati, Peter Elmer, Patrick Gartung +12
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 transi…
Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics
Mohammad Atif, Meghna Battacharya, Paolo Calafiura +17
High-energy physics (HEP) experiments have developed millions of lines of code over decades that are optimized to run on traditional x86 CPU systems. However, we are seeing a rapid…
Speeding up the CMS track reconstruction with a parallelized and vectorized Kalman-filter-based algorithm during the LHC Run 3
Sophie Berkman, Giuseppe Cerati, Peter Elmer +17
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 fit…
Snowmass Computational Frontier: Topical Group Report on Experimental Algorithm Parallelization
G. Cerati, K. Heitmann, W. Hopkins +10
The substantial increase in data volume and complexity expected from future experiments will require significant investment to prepare experimental algorithms. These algorithms inc…
Portability: A Necessary Approach for Future Scientific Software
Meghna Bhattacharya, Paolo Calafiura, Taylor Childers +16
Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the future will be much more reliant on accelerators like GPUs and FPGAs. The porta…
Porting CMS Heterogeneous Pixel Reconstruction to Kokkos
Taylor Childers, Matti J. Kortelainen, Martin Kwok +2
Programming for a diverse set of compute accelerators in addition to the CPU is a challenge. Maintaining separate source code for each architecture would require lots of effort, an…
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…
Heterogeneous reconstruction of tracks and primary vertices with the CMS pixel tracker
Andrea Bocci, Matti Kortelainen, Vincenzo Innocente +2
The High-Luminosity upgrade of the LHC will see the accelerator reach an instantaneous luminosity of with an average pileup of proton-proton c…
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…
Bringing heterogeneity to the CMS software framework
Andrea Bocci, David Dagenhart, Vincenzo Innocente +4
The advent of computing resources with co-processors, for example Graphics Processing Units (GPU) or Field-Programmable Gate Arrays (FPGA), for use cases like the CMS High-Level Tr…
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…
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…
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…
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…
Inclusive search for supersymmetry using the razor variables in pp collisions at sqrt(s) = 7 TeV
CMS Collaboration
An inclusive search is presented for new heavy particle pairs produced in sqrt(s) = 7 TeV proton-proton collisions at the LHC using 4.7 +/- 0.1 inverse femtobarns of integrated lum…
Forward-backward asymmetry of Drell-Yan lepton pairs in pp collisions at sqrt(s) = 7 TeV
CMS Collaboration
A measurement of the forward-backward asymmetry (A[FB]) of Drell-Yan lepton pairs in pp collisions at sqrt(s) = 7 TeV is presented. The data sample, collected with the CMS detector…
Czochralski Silicon as a Detector Material for S-LHC Tracker Volumes
Leonard Spiegel, Tobias Barvich, Burt Betchart +21
With an expected ten-fold increase in luminosity in S-LHC, the radiation environment in the tracker volumes will be considerably harsher for silicon-based detectors than the alread…