Giovanni Lapenta

发表

Performance analysis and implementation details of the Energy Conserving Semi-Implicit Method code (ECsim)

Diego Gonzalez-Herrero, Elisabetta Boella, Giovanni Lapenta, 2018, Comput. Phys. Commun..

Cost-effectiveness of fully implicit moving mesh adaptation: A practical investigation in 1D

Luis Chacón, Giovanni Lapenta, G. Lapenta, 2006, J. Comput. Phys..

The Formation of a Magnetosphere with Implicit Particle-in-Cell Simulations

Erwin Laure, Juris Vencels, Stefano Markidis, 2015, ICCS.

Evaluation of null-point detection methods on simulation data

Stefano Markidis, Vyacheslav Olshevsky, Giovanni Lapenta, 2014 .

A new Particle-in-Cell method for modeling magnetized fluids

Fabio Bacchini, Vyacheslav Olshevsky, Giovanni Lapenta, 2017, Comput. Phys. Commun..

Initial results on computational performance of Intel many integrated core, sandy bridge, and graphical processing unit architectures: implementation of a 1D c++/OpenMP electrostatic particle‐in‐cell code

Stefano Markidis, Giovanni Lapenta, A. Vapirev, 2015, Concurr. Comput. Pract. Exp..

A Multi Level Multi Domain Method for Particle In Cell plasma simulations

Stefano Markidis, Giovanni Lapenta, A. Vapirev, 2012, J. Comput. Phys..

Optimizing the Multi Level Multi Domain Particle In Cell code parsek2D-MLMD

Stefano Markidis, Arnaud Beck, Giovanni Lapenta, 2014 .

Particle in cell simulation of combustion synthesis of TiC nanoparticles

Giovanni Lapenta, Gianluca Zuccaro, G. Maizza, 2004, Comput. Phys. Commun..

Particle simulations of space weather

Giovanni Lapenta, G. Lapenta, 2012, J. Comput. Phys..

High performance computing (HPC) simulations of laboratory experiments probing astrophysical processes

Giovanni Lapenta, 2015 .

Tokamak disruption prediction using different machine learning techniques

Jorge Amaya, Giovanni Lapenta, Joost Croonen, 2020, 2005.05139.

Progress towards physics-based space weather forecasting with exascale computing

Stefano Markidis, Vyacheslav Olshevsky, Jorge Amaya, 2017, Adv. Eng. Softw..

Automatic Adaptive Multi-Dimensional Particle In Cell

Giovanni Lapenta, G. Lapenta, 2007 .

The energy conserving particle-in-cell method

Stefano Markidis, Giovanni Lapenta, S. Markidis, 2011, J. Comput. Phys..

eHEROES: where Space Weather and Communication meet

Giovanni Lapenta, Gaël Cessateur, Petra Vanlommel, 2014 .

Introduction of temporal sub-stepping in the Multi-Level Multi-Domain semi-implicit Particle-In-Cell code Parsek2D-MLMD

Stefano Markidis, Giovanni Lapenta, Maria Elena Innocenti, 2015, Comput. Phys. Commun..

A posteriori truncation error detection with application to grid adaptation

Giovanni Lapenta, 2003 .

Development and performance analysis of a UPC Particle-in-Cell code

Stefano Markidis, Giovanni Lapenta, 2010, PGAS '10.

Parsek: object oriented particle in cell. implementation and performance issues

Stefano Markidis, Giovanni Lapenta, W. B. VanderHeyden, 2002, JGI '02.

A nonlinear, fully coupled adaptive grid strategy

Giovanni Lapenta, Luis Chacon, 2005 .

Posteriori error determination and grid adaptation for AMR and ALE computational fluid dynamics

Giovanni Lapenta, 2003 .

Fully implicit moving mesh adaptive algorithm

Giovanni Lapenta, Luis Chacon, 2005 .

An optimal robust equidistribution method for two-dimensional grid adaptation based on Monge-Kantorovich optimization

Gian Luca Delzanno, Luis Chacón, Giovanni Lapenta, 2008, J. Comput. Phys..

The Multi Level Multi Domain (MLMD) method: a semi-implicit adaptive algorithm for Particle In Cell plasma simulations

Stefano Markidis, Arnaud Beck, Giovanni Lapenta, 2013 .

Slurm: Fluid particle-in-cell code for plasma modeling

Fabio Bacchini, Vyacheslav Olshevsky, Giovanni Lapenta, 2018, Comput. Phys. Commun..

DEMOCRITUS: An adaptive particle in cell (PIC) code for object-plasma interactions

Giovanni Lapenta, G. Lapenta, 2011, J. Comput. Phys..

Benchmarking of Democritus code in the study of satellite charging

Giovanni Lapenta, Lapo Bettarini, 2010 .

Processing big data from space missions and massively parallel simulations within the Horizon 2020 Project AIDA

Giovanni Lapenta, Aida H Team, 2019 .

Implementation and performance of a particle-in-cell code written in Java: Research Articles

Stefano Markidis, Zoran Budimlic, Giovanni Lapenta, 2005 .

High Performance Solvers for Implicit Particle in Cell Simulation

Pawan Kumar, Karl Meerbergen, Dirk Roose, 2013, ICCS.

Codesign approach towards an Exascale scalable plasma simulation code

Stefano Markidis, Vyacheslav Olshevsky, Jorge Amaya, 2013 .

Space Weather Prediction with Exascale Computing pdf

Giovanni Lapenta, 2011, ArXiv.

Immersed boundary method for plasma simulation in complex geometries

Giovanni Lapenta, Jeremiah Brackbill, 1996 .

Two-way coupling of magnetohydrodynamic simulations with embedded particle-in-cell simulations

Rony Keppens, Giovanni Lapenta, K. D. Makwana, 2017, Comput. Phys. Commun..

Dynamic Time Warping as a New Evaluation for Dst Forecast With Machine Learning

Jorge Amaya, Giovanni Lapenta, Brecht Laperre, 2020, Frontiers in Astronomy and Space Sciences.

A robust, efficient equidistribution 2D grid generation method

Gian Luca Delzanno, Giovanni Lapenta, Luis Chacon, 2007 .

On the scalability of the clusters-booster concept: a critical assessment of the DEEP architecture

Thomas Lippert, Estela Suarez, Norbert Eicker, 2012, FutureHPC '12.

Multi-level multi-domain algorithm implementation for two-dimensional multiscale particle in cell simulations

Stefano Markidis, Giovanni Lapenta, Maria Elena Innocenti, 2014, J. Comput. Phys..

Implicit Kinetic simulations of multiple scale systems

Stefano Markidis, Giovanni Lapenta, Gianluca Zuccaro, 2005 .

Two-way coupling of a global Hall magnetohydrodynamics model with a local implicit particle-in-cell model

Stefano Markidis, Jorge Amaya, Giovanni Lapenta, 2014, J. Comput. Phys..

Particle-based simulation of plasmas

Giovanni Lapenta, G. Lapenta, 2016 .

Joint observation of the X9.3 and X8.3 flares of September 6 and 10 2017 by SDO/EVE, PROBA2/LYRA and MAVEN/EUVM

Andrei Zhukov, Giovanni Lapenta, Marie Dominique, 2018 .

A recipe to detect the error in discretization schemes

Giovanni Lapenta, G. Lapenta, 2004 .

Automatic Classification of Plasma Regions in Near-Earth Space With Supervised Machine Learning: Application to Magnetospheric Multi Scale 2016–2019 Observations

Jorge Amaya, Giovanni Lapenta, Romain Dupuis, 2020, Frontiers in Astronomy and Space Sciences.

Coupling Fluid and Kineitc Effects in Space Weather: an interdisciplinary task

Diego Gonzalez-Herrero, Elisabetta Boella, Giovanni Lapenta, 2017 .

Plug and Play Approach to Validation of Particle-Based Algorithms

Stefano Markidis, Giovanni Lapenta, 2005, International Conference on Computational Science.

Predictor-Corrector Preconditioned Newton-Krylov Method For Cavity Flow

Giovanni Lapenta, Jianwei Ju, G. Lapenta, 2005, International Conference on Computational Science.

Visualizing and Interpreting Unsupervised Solar Wind Classifications

Jorge Amaya, Giovanni Lapenta, Maria Elena Innocenti, 2020, Frontiers in Astronomy and Space Sciences.

Multiphase and multiphysics particle in cell simulation of soot deposition inside a diesel particulate filter single channel

Giovanni Lapenta, Gianluca Zuccaro, G. Maizza, 2011, Comput. Phys. Commun..

PARSEK: a Parallel Software Package for Implicit Particle-in-Cell Simulations

Enrico Camporeale, Stefano Markidis, Giovanni Lapenta, 2007 .

Space Weather Prediction and Exascale Computing

Stefano Markidis, Dean Vucinic, Giovanni Lapenta, 2013, Computing in Science & Engineering.

Multi-scale simulations of plasma with iPIC3D

Stefano Markidis, Rizwan Uddin, Giovanni Lapenta, 2010, Math. Comput. Simul..

Helsim: A Particle-in-cell Simulator for Highly Imbalanced Particle Distributions

Roel Wuyts, Tom Haber, Giovanni Lapenta, 2015, ICCS.

PARSEK : A Parallel Implicit PIC Code

Stefano Markidis, Giovanni Lapenta, 2005 .

Implementation and performance of a particle‐in‐cell code written in Java

Stefano Markidis, Zoran Budimlic, Giovanni Lapenta, 2005, Concurr. Pract. Exp..

A Fully implicit R-refinement Algorithm

Giovanni Lapenta, Luis Chacon, G. Lapenta, 2006 .

Implementation of a 2D electrostatic particle in cell algorithm in Unified Parallel C with dynamic load-balancing

Karl Meerbergen, Roel Wuyts, Bart Verleye, 2011 .

Computational Performance of Intel MIC, Sandy Bridge, and GPU Architectures: Implementation of a 1D c++/OpenMP Electrostatic Particle-In-Cell Code

Stefano Markidis, Giovanni Lapenta, A. Vapirev, 2014 .

Rethinking Electrostatic Solvers in Particle Simulations for the Exascale Era

Erwin Laure, Stefano Markidis, Giovanni Lapenta, 2012, 1205.2217.

Momentum conservation in Multi-Level Multi-Domain (MLMD) simulations

Stefano Markidis, Giovanni Lapenta, Maria Elena Innocenti, 2016, J. Comput. Phys..

A fully implicit, nonlinear adaptive grid strategy

Luis Chacón, Giovanni Lapenta, G. Lapenta, 2006, J. Comput. Phys..

Comparison of Preconditioning Strategies in Energy Conserving Implicit Particle in Cell Methods

Giovanni Lapenta, Emanuele Cazzola, Lorenzo Siddi, 2018, 1806.04454.

Exactly energy conserving semi-implicit particle in cell formulation

Giovanni Lapenta, G. Lapenta, 2016, J. Comput. Phys..