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Massimiliano Fatica
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2020 – today
- 2024
- [j11]Emanuele Vitali, Federico Ficarelli, Mauro Bisson, Davide Gadioli
, Gianmarco Accordi
GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis. J. Parallel Distributed Comput. 186: 104819 (2024) - 2023
- [c21]Felix Liu, Vanitha Sankaranarayanan, Javier E. Villanueva-Meyer, Shawn Hervey-Jumper, James Hawkins, Pablo F. Damasceno, Mauro Bisson, Joshua Romero, Thorsten Kurth, Massimiliano Fatica, Eleftherios Garyfallidis, Ariel Rokem
Clinical validation of rapid GPU-enabled DTI tractography of the brain. High Performance Computing for Imaging 2023: 1-4 - [i7]Gianmarco Accordi, Emanuele Vitali, Davide Gadioli, Luigi Crisci
Improving computation efficiency using input and architecture features for a virtual screening application. CoRR abs/2303.06150 (2023) - 2022
- [j10]Francesco Viola
FSEI-GPU: GPU accelerated simulations of the fluid-structure-electrophysiology interaction in the left heart. Comput. Phys. Commun. 273: 108248 (2022) - [c20]Joshua Romero, Pedro Costa
Distributed-memory simulations of turbulent flows on modern GPU systems using an adaptive pencil decomposition library. PASC 2022: 14:1-14:11 - [i6]Emanuele Vitali, Federico Ficarelli, Mauro Bisson, Davide Gadioli, Massimiliano Fatica, Andrea Rosario Beccari, Gianluca Palermo:
GPU-optimized Approaches to Molecular Docking-based Virtual Screening in Drug Discovery: A Comparative Analysis. CoRR abs/2209.05069 (2022) - 2021
- [j9]Pedro Costa
GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows. Comput. Math. Appl. 81: 502-511 (2021) - [i5]Massimo Bernaschi, Mauro Bisson, Massimiliano Fatica, Enzo Marinari, Victor Martin-Mayor, Giorgio Parisi, Federico Ricci-Tersenghi:
How we are leading a 3-XORSAT challenge: from the energy landscape to the algorithm and its efficient implementation on GPUs. CoRR abs/2102.09510 (2021) - 2020
- [j8]Joshua Romero
High performance implementations of the 2D Ising model on GPUs. Comput. Phys. Commun. 256: 107473 (2020) - [i4]Pedro Costa, Everett H. Phillips, Luca Brandt, Massimiliano Fatica:
GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows. CoRR abs/2001.05234 (2020)
2010 – 2019
- 2019
- [c19]Mauro Bisson, Massimiliano Fatica:
A GPU Implementation of the Sparse Deep Neural Network Graph Challenge. HPEC 2019: 1-8 - [i3]Joshua Romero, Mauro Bisson, Massimiliano Fatica, Massimo Bernaschi:
A Performance Study of the 2D Ising Model on GPUs. CoRR abs/1906.06297 (2019) - 2018
- [j7]Xiaojue Zhu
AFiD-GPU: A versatile Navier-Stokes solver for wall-bounded turbulent flows on GPU clusters. Comput. Phys. Commun. 229: 199-210 (2018) - [c18]Mauro Bisson, Massimiliano Fatica:
Update on Static Graph Challenge on GPU. HPEC 2018: 1-8 - [c17]Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston:
Exascale deep learning for climate analytics. SC 2018: 51:1-51:12 - [i2]Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston:
Exascale Deep Learning for Climate Analytics. CoRR abs/1810.01993 (2018) - 2017
- [j6]Mauro Bisson
High Performance Exact Triangle Counting on GPUs. IEEE Trans. Parallel Distributed Syst. 28(12): 3501-3510 (2017) - [c16]Mauro Bisson, Massimiliano Fatica:
Static graph challenge on GPU. HPEC 2017: 1-8 - [c15]Joshua Romero, Everett H. Phillips, Gregory Ruetsch, Massimiliano Fatica, Filippo Spiga, Paolo Giannozzi:
A Performance Study of Quantum ESPRESSO's PWscf Code on Multi-core and GPU Systems. PMBS@SC 2017: 67-87 - 2016
- [j5]Everett H. Phillips, Massimiliano Fatica:
Performance analysis of the high-performance conjugate gradient benchmark on GPUs. Int. J. High Perform. Comput. Appl. 30(1): 28-38 (2016) - [c14]Mauro Bisson, Everett H. Phillips, Massimiliano Fatica:
A CUDA implementation of the pagerank pipeline benchmark. HPEC 2016: 1-7 - 2015
- [c13]Massimo Bernaschi, Giancarlo Carbone, Enrico Mastrostefano, Mauro Bisson, Massimiliano Fatica:
Enhanced GPU-based distributed breadth first search. Conf. Computing Frontiers 2015: 10:1-10:8 - [c12]Diego Rossinelli, Yu-Hang Tang
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution. SC 2015: 2:1-2:12 - 2014
- [c11]Massimiliano Fatica, Everett H. Phillips:
Synthetic aperture radar imaging on a CUDA-enabled mobile platform. HPEC 2014: 1-5 - [c10]Everett H. Phillips, Massimiliano Fatica:
A CUDA Implementation of the High Performance Conjugate Gradient Benchmark. PMBS@SC 2014: 68-84 - [c9]Ben Cumming, Gilles Fourestey, Oliver Fuhrer
Application Centric Energy-Efficiency Study of Distributed Multi-Core and Hybrid CPU-GPU Systems. SC 2014: 819-829 - 2013
- [j4]Massimo Bernaschi, Mauro Bisson, Massimiliano Fatica, Simone Melchionna, Sauro Succi
Petaflop hydrokinetic simulations of complex flows on massive GPU clusters. Comput. Phys. Commun. 184(2): 329-341 (2013) - [c8]Oreste Villa, Massimiliano Fatica, Nitin Gawande
Power/Performance Trade-Offs of Small Batched LU Based Solvers on GPUs. Euro-Par 2013: 813-825 - [c7]Roberto Ammendola
GPU Peer-to-Peer Techniques Applied to a Cluster Interconnect. IPDPS Workshops 2013: 806-815 - [c6]Massimo Bernaschi, Mauro Bisson, Massimiliano Fatica, Simone Melchionna:
20 petaflops simulation of proteins suspensions in crowding conditions. SC 2013: 2:1-2:11 - [c5]Massimiliano Fatica, Everett H. Phillips:
Pricing American options with least squares Monte Carlo on GPUs. WHPCF@SC 2013: 5:1-5:6 - [i1]Roberto Ammendola, Massimo Bernaschi, Andrea Biagioni, Mauro Bisson, Massimiliano Fatica, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Enrico Mastrostefano, Pier Stanislao Paolucci, Davide Rossetti, Francesco Simula, Laura Tosoratto, Piero Vicini:
GPU peer-to-peer techniques applied to a cluster interconnect. CoRR abs/1307.8276 (2013) - 2012
- [j3]Massimo Bernaschi, Massimiliano Fatica, Giorgio Parisi
Multi-GPU codes for spin systems simulations. Comput. Phys. Commun. 183(7): 1416-1421 (2012) - 2011
- [c4]Massimo Bernaschi, Mauro Bisson, Toshio Endo, Satoshi Matsuoka, Massimiliano Fatica, Simone Melchionna:
Petaflop biofluidics simulations on a two million-core system. SC 2011: 4:1-4:12 - 2010
- [j2]Massimo Bernaschi, Massimiliano Fatica, Simone Melchionna, Sauro Succi
A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries. Concurr. Comput. Pract. Exp. 22(1): 1-14 (2010) - [c3]Everett H. Phillips, Massimiliano Fatica:
Implementing the Himeno benchmark with CUDA on GPU clusters. IPDPS 2010: 1-10
2000 – 2009
- 2009
- [c2]Massimiliano Fatica:
Accelerating linpack with CUDA on heterogenous clusters. GPGPU 2009: 46-51 - 2000
- [j1]William C. Reynolds, Massimiliano Fatica:
Stanford Center for Integrated Turbulence Simulations. Comput. Sci. Eng. 2(2): 54-63 (2000)
1990 – 1999
- 1996
- [c1]Marco Briscolini, Massimiliano Fatica:
Direct numerical simulations of turbulent pipe flow via a portable message-passing code. Parallel CFD 1996: 67-75
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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