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researcher

T. Rathnayake

7 papers hereh-index 102.5k citations18 works total

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

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.DC3
  • cs.PF2
  • cs.CE1
  • physics.comp-ph1
same name
  • T. Rathnayake — 4 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedEfficient Exascale Discretizations: High-Order Finite Element Methods

66 citations · 80 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

physics.comp-ph2021★ 9 cited

Highly Optimized Full-Core Reactor Simulations on Summit

Paul Fischer, Elia Merzari, Misun Min +8

Nek5000/RS is a highly-performant open-source spectral element code for simulation of incompressible and low-Mach fluid flow, heat transfer, and combustion with a particular focus…

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…

cs.PF2021★ 2 cited

NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver

Paul Fischer, Stefan Kerkemeier, Misun Min +8

The development of NekRS, a GPU-oriented thermal-fluids simulation code based on the spectral element method (SEM) is described. For performance portability, the code is based on t…

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