Speedup | List of Frontiers open access articles

Original Research

Published on 20 Jun 2024

Acceleration performance results of the SN nodal transport solvers in MOSASAUR code system for lead-based reactor cores

in Nuclear Reactor Design

Bo Wang
Zhitao Xu
Lianjie Wang
Bin Zhang
Lei Lou
Chen Zhao

Frontiers in Nuclear Engineering

doi 10.3389/fnuen.2024.1418837

1,895 views
1 citation

Original Research

Published on 03 Mar 2022

GPU Accelerated Parallel Processing for Large-Scale Monte Carlo Analysis: COVID-19 Parameter Estimation and New Case Forecasting

in Optimization

Brad Suchoski
Steve Stage
Heidi Gurung
Prasith Baccam

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2022.818016

11,424 views
4 citations

Original Research

Published on 19 Jul 2024

Fast multi-compartment Microstructure Fingerprinting in brain white matter

in Brain Imaging Methods

Quentin Dessain
Clément Fuchs
Benoît Macq
Gaëtan Rensonnet

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1400499

2,108 views
4 citations

Methods

Published on 28 Sep 2017

Fast High Resolution Volume Carving for 3D Plant Shoot Reconstruction

in Technical Advances in Plant Science

Hanno Scharr
Christoph Briese
Patrick Embgenbroich
Andreas Fischbach
Fabio Fiorani
Mark Müller-Linow

Frontiers in Plant Science

doi 10.3389/fpls.2017.01680

8,690 views
31 citations

Original Research

Published on 17 Dec 2025

Octant overlapping and angle-energy group expanded KBA parallelism of three-dimensional discrete ordinate method

in Nuclear Energy

Jian Guo
Yang Zou
Xuechao Zhao
Rui Yan

Frontiers in Energy Research

doi 10.3389/fenrg.2025.1660859

782 views

Original Research

Published on 08 Jan 2024

A hybrid finite volume method and smoothed particle hydrodynamics approach for efficient and accurate blast simulations

in Fluid Dynamics

Conner Myers
Jeffrey Musk
Todd Palmer
Camille Palmer

Frontiers in Physics

doi 10.3389/fphy.2023.1325294

2,733 views
3 citations

Methods

Published on 10 Feb 2017

Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers

Weiliang Chen
Erik De Schutter

Frontiers in Neuroinformatics

doi 10.3389/fninf.2017.00013

7,832 views
42 citations

Original Research

Published on 30 Sep 2015

Nonlinear response speedup in bimodal visual-olfactory object identification

in Cognition

Richard Höchenberger
Niko A. Busch
Kathrin Ohla

Frontiers in Psychology

doi 10.3389/fpsyg.2015.01477

5,418 views
23 citations

Original Research

Published on 16 May 2017

Constructing Neuronal Network Models in Massively Parallel Environments

Tammo Ippen
Jochen M. Eppler
Hans E. Plesser
Markus Diesmann

Frontiers in Neuroinformatics

doi 10.3389/fninf.2017.00030

10,720 views
33 citations

Original Research

Published on 16 Mar 2026

Machine learning for N-dimensional spatial reasoning tasks on the web

in Data Visualization

Blake Moody
JieHyun Kim
Sanghyuk Kim
Daniel Haehn

Frontiers in Bioinformatics

doi 10.3389/fbinf.2026.1694775

404 views

Original Research

Published on 05 Apr 2019

Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer

in Computational Physics

Maliheh Aramon
Gili Rosenberg
Elisabetta Valiante
Toshiyuki Miyazawa
Hirotaka Tamura
Helmut G. Katzgraber

Frontiers in Physics

doi 10.3389/fphy.2019.00048

23,490 views
457 citations

Original Research

Published on 31 May 2022

Predicting Topographic Effect Multipliers in Complex Terrain With Shallow Neural Networks

in Wind Engineering and Science

J. X. Santiago-Hernández
A. Román Santiago
R. A. Catarelli
B. M. Phillips
L. D. Aponte-Bermúdez
F. J. Masters

Frontiers in Built Environment

doi 10.3389/fbuil.2022.762054

4,170 views
3 citations

Original Research

Published on 10 Oct 2023

DeepRaccess: high-speed RNA accessibility prediction using deep learning

in Genomic Analysis

Kaisei Hara
Natsuki Iwano
Tsukasa Fukunaga
Michiaki Hamada

Frontiers in Bioinformatics

doi 10.3389/fbinf.2023.1275787

4,155 views
3 citations

Original Research

Published on 30 Jan 2023

High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

in Mathematical Biology

Ginger Egberts
Fred Vermolen
Paul van Zuijlen

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1098242

5,232 views
2 citations

Original Research

Published on 20 Nov 2018

Efficient Synapse Memory Structure for Reconfigurable Digital Neuromorphic Hardware

in Neuromorphic Engineering

Jinseok Kim
Jongeun Koo
Taesu Kim
Jae-Joon Kim

Frontiers in Neuroscience

doi 10.3389/fnins.2018.00829

8,769 views
19 citations

Original Research

Published on 20 Sep 2019

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling

in Data Mining and Management

Jiří Navrátil
Alan King
Jesus Rios
Georgios Kollias
Ruben Torrado
Andrés Codas

Frontiers in Big Data

doi 10.3389/fdata.2019.00033

10,027 views
41 citations

Articles

Acceleration performance results of the SN nodal transport solvers in MOSASAUR code system for lead-based reactor cores

GPU Accelerated Parallel Processing for Large-Scale Monte Carlo Analysis: COVID-19 Parameter Estimation and New Case Forecasting

Fast multi-compartment Microstructure Fingerprinting in brain white matter

Fast High Resolution Volume Carving for 3D Plant Shoot Reconstruction

Octant overlapping and angle-energy group expanded KBA parallelism of three-dimensional discrete ordinate method

A hybrid finite volume method and smoothed particle hydrodynamics approach for efficient and accurate blast simulations

Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers

Nonlinear response speedup in bimodal visual-olfactory object identification

Constructing Neuronal Network Models in Massively Parallel Environments

Machine learning for N-dimensional spatial reasoning tasks on the web

Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer

Predicting Topographic Effect Multipliers in Complex Terrain With Shallow Neural Networks

DeepRaccess: high-speed RNA accessibility prediction using deep learning

High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

Efficient Synapse Memory Structure for Reconfigurable Digital Neuromorphic Hardware

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling