40 citations · 257 across the 28 of their papers we have counts for
28 papers
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…
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…
Two-link Staggered Quark Smearing in QUDA
Steven Gottlieb, Hwancheol Jeong, Alexei Strelchenko
Gauge covariant smearing based on the 3D lattice Laplacian can be used to create extended operators that have better overlap with hadronic ground states. For staggered quarks, we m…
Lattice QCD and Particle Physics
Andreas S. Kronfeld, Tanmoy Bhattacharya, Thomas Blum +79
Contribution from the USQCD Collaboration to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021).
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…