◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

H. Ibeid

4 papers hereh-index 8196 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC3
  • cs.PF1

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedCommunication Reducing Algorithms for Distributed Hierarchical N-Body Problems with Boundary Distributions

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

collaborators

4 papers

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…

cs.PF2018

Learning with Analytical Models

Huda Ibeid, Siping Meng, Oliver Dobon +2

To understand and predict the performance of scientific applications, several analytical and machine learning approaches have been proposed, each having its advantages and disadvan…

cs.DC2017★ 2 cited

Communication Reducing Algorithms for Distributed Hierarchical N-Body Problems with Boundary Distributions

Mustafa Abduljabbar, George Markomanolis, Huda Ibeid +2

Reduction of communication and efficient partitioning are key issues for achieving scalability in hierarchical N-Body algorithms like FMM. In the present work, we propose four in…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.