◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Stefan Costea

5 papers hereh-index 320 citations10 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • physics.plasm-ph3
  • cs.DC1
  • cs.ET1

identity via Semantic Scholar / OpenAlex

most citedMulti-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing physics.plasm-phShow all

3 papers · 1 filter

physics.plasm-ph2026

High-Performance Resilient Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations at Scale

Jeremy J. Williams, Stefan Costea, David Tskhakaya +13

The increasing demand for high-performance computing in plasma physics has driven scalable and resilient simulation methods capable of efficiently exploiting modern multi-GPU archi…

physics.plasm-ph2026★ 1 cited

Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems

Jeremy J. Williams, Jordy Trilaksono, Stefan Costea +13

Particle-in-Cell (PIC) Monte Carlo (MC) simulations are central to plasma physics but face increasing challenges on heterogeneous HPC systems due to excessive data movement, synchr…

physics.plasm-ph2025

Integrating High Performance In-Memory Data Streaming and In-Situ Visualization in Hybrid MPI+OpenMP PIC MC Simulations Towards Exascale

Jeremy J. Williams, Stefan Costea, Daniel Medeiros +11

Efficient simulation of complex plasma dynamics is crucial for advancing fusion energy research. Particle-in-Cell (PIC) Monte Carlo (MC) simulations provide insights into plasma be…

◍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.