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Yu-Hsiang Lan

9 papers hereh-index 11517 citations35 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.DC4
  • cs.CE2
  • cs.PF1
  • physics.comp-ph1
  • physics.flu-dyn1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedEfficient Exascale Discretizations: High-Order Finite Element Methods

66 citations · 87 across the 7 of their papers we have counts for

collaborators
Showing cs.DCShow all

4 papers · 1 filter

cs.DC2023

Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI

Victor A. Mateevitsi, Mathis Bode, Nicola Ferrier +9

In the realm of Computational Fluid Dynamics (CFD), the demand for memory and computation resources is extreme, necessitating the use of leadership-scale computing platforms for pr…

cs.DC2023

Nek5000/RS Performance on Advanced GPU Architectures

Misun Min, Yu-Hsiang Lan, Paul Fischer +2

We demonstrate NekRS performance results on various advanced GPU architectures. NekRS is a GPU-accelerated version of Nek5000 that targets high performance on exascale platforms. I…

cs.DC2021

GPU Algorithms for Efficient Exascale Discretizations

Ahmad Abdelfattah, Valeria Barra, Natalie Beams +24

In this paper we describe the research and development activities in the Center for Efficient Exascale Discretization within the US Exascale Computing Project, targeting state-of-t…

cs.DC2021★ 66 cited

Efficient Exascale Discretizations: High-Order Finite Element Methods

Tzanio Kolev, Paul Fischer, Misun Min +27

Efficient exploitation of exascale architectures requires rethinking of the numerical algorithms used in many large-scale applications. These architectures favor algorithms that ex…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.