80 citations · 80 across the 5 of their papers we have counts for
6 papers
HPL and HPL-MxP at Exascale on Aurora: Performance Engineering and Characterization
Kazushige Goto, Huda Ibeid, Kalyan Kumaran +3
Running HPL and HPL-MxP at exascale requires more than optimized numerical kernels; it requires coordinated performance engineering across communication, resource mapping, runtime…
Scaling MPI Applications on Aurora
Huda Ibeid, Anthony-Trung Nguyen, Aditya Nishtala +10
The Aurora supercomputer, which was deployed at Argonne National Laboratory in 2024, is currently one of three Exascale machines in the world on the Top500 list. The Aurora system…
Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
William E. Allcock, Benjamin S. Allen, James Anchell +106
Aurora is Argonne National Laboratory's pioneering Exascale supercomputer, designed to accelerate scientific discovery with cutting-edge architectural innovations. Key new technolo…
THAPI: Tracing Heterogeneous APIs
Solomon Bekele, Aurelio Vivas, Thomas Applencourt +5
As we reach exascale, production High Performance Computing (HPC) systems are increasing in complexity. These systems now comprise multiple heterogeneous computing components (CPUs…
HL-LHC Computing Review: Common Tools and Community Software
HEP Software Foundation, :, Thea Aarrestad +107
Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will b…
Challenges in Monte Carlo event generator software for High-Luminosity LHC
The HSF Physics Event Generator WG, :, Andrea Valassi +38
We review the main software and computing challenges for the Monte Carlo physics event generators used by the LHC experiments, in view of the High-Luminosity LHC (HL-LHC) physics p…