2 citations · 2 across the 6 of their papers we have counts for
7 papers · 1 filter
Sustaining Exascale Performance: Lessons from HPL and HPL-MxP on Aurora
Kazushige Goto, Huda Ibeid, Kalyan Kumaran +3
Sustaining exascale performance in production requires engineering choices and operational practices that emerge only under real deployment constraints and demand coordination acro…
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…
Performance Analysis of HPC applications on the Aurora Supercomputer: Exploring the Impact of HBM-Enabled Intel Xeon Max CPUs
Huda Ibeid, Vikram Narayana, Jeongnim Kim +3
The Aurora supercomputer is an exascale-class system designed to tackle some of the most demanding computational workloads. Equipped with both High Bandwidth Memory (HBM) and DDR m…
Simulation-Based Performance Prediction of HPC Applications: A Case Study of HPL
Gen Xu, Huda Ibeid, Xin Jiang +2
We propose a simulation-based approach for performance modeling of parallel applications on high-performance computing platforms. Our approach enables full-system performance model…
FFT, FMM, and Multigrid on the Road to Exascale: performance challenges and opportunities
Huda Ibeid, Luke Olson, William Gropp
FFT, FMM, and multigrid methods are widely used fast and highly scalable solvers for elliptic PDEs. However, emerging large-scale computing systems are introducing challenges in co…