activity
20172026
most citedCommunication Reducing Algorithms for Distributed Hierarchical N-Body Problems with Boundary Distributions

2 citations · 2 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.DC2026

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…

cs.DC2025

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…

cs.DC2025

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…

cs.DC2025

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…

cs.DC2020

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…

cs.DC2018

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…