240 citations · 2.7k across the 74 of their papers we have counts for
75 papers
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
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…
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…
The U.S. CMS HL-LHC R&D Strategic Plan
Oliver Gutsche, Tulika Bose, Margaret Votava +13
The HL-LHC run is anticipated to start at the end of this decade and will pose a significant challenge for the scale of the HEP software and computing infrastructure. The mission o…
A Ceph S3 Object Data Store for HEP
Nick Smith, Bo Jayatilaka, David Mason +4
We present a novel data format design that obviates the need for data tiers by storing individual event data products in column objects. The objects are stored and retrieved throug…
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…