125 citations · 416 across the 15 of their papers we have counts for
16 papers
A Scalable Sharp-Interface Immersed Boundary Method for Moving Boundary Flow Simulation on Multi-GPU Systems
Sushrut Kumar, Joshua Romero, Massimiliano Fatica +2
Sharp-interface immersed boundary methods provide a versatile framework for simulating flows with complex moving boundaries, but their irregular data structures, dynamic sparsity,…
GPU-Accelerated Simulations of Moving Boundary Problems and Fluid-Structure Interaction at Extreme Scales
Sushrut Kumar, Joshua Romero, Jung-Hee Seo +2
Computational fluid dynamics and fluid-structure interaction simulations involving moving and deforming bodies is extremely hard. In this work, we present a graphical processing un…
A fast incompressible Navier-Stokes solver for non-uniform grids
Pedro Costa, Duarte Palancha, Joshua Romero +2
We present a scalable incompressible Navier--Stokes solver for three-dimensional Cartesian grids with non-uniform spacing. A direct tensor-product--Thomas method solves the constan…
A GPU-Accelerated Sharp Interface Immersed Boundary Solver for Large Scale Flow Simulations
Sushrut Kumar, Joshua Romero, Jung-Hee Seo +2
Immersed boundary methods (IBMs) facilitate the simulation of flows around stationary, moving, and deforming bodies on Cartesian grids. However, extending these simulations to the…
Universal exotic dynamics in critical mesoscopic systems: Simulating the square root of Avogadro's number of spins
Mauro Bisson, Alexandros Vasilopoulos, Massimo Bernaschi +4
We explicitly demonstrate the universality of critical dynamics through unprecedented large-scale GPU-based simulations of two out-of-equilibrium processes, comparing the behavior…
Massive-Scale Simulations of 2D Ising and Blume-Capel Models on Rack-Scale Multi-GPU Systems
Mauro Bisson, Massimo Bernaschi, Massimiliano Fatica +4
We present high-performance implementations of the two-dimensional Ising and Blume-Capel models for large-scale, multi-GPU simulations. Our approach takes full advantage of the NVI…
Improving computation efficiency using input and architecture features for a virtual screening application
Gianmarco Accordi, Emanuele Vitali, Davide Gadioli +6
Virtual screening is an early stage of the drug discovery process that selects the most promising candidates. In the urgent computing scenario it is critical to find a solution in…
GPU-optimized Approaches to Molecular Docking-based Virtual Screening in Drug Discovery: A Comparative Analysis
Emanuele Vitali, Federico Ficarelli, Mauro Bisson +4
COVID-19 has shown the importance of having a fast response against pandemics. Finding a novel drug is a very long and complex procedure, and it is possible to accelerate the preli…
FSEI-GPU: GPU accelerated simulations of the fluid-structure-electrophysiology interaction in the left heart
Francesco Viola, Vamsi Spandan, Valentina Meschini +4
The reliability of cardiovascular computational models depends on the accurate solution of the hemodynamics, the realistic characterization of the hyperelastic and electric propert…
One-point statistics for turbulent pipe flow up to
Sergio Pirozzoli, Joshua Romero, Massimiliano Fatica +2
We study turbulent flows in a smooth straight pipe of circular cross--section up to using direct--numerical-simulation (DNS) of the Navier--Stokes equations. Th…
How we are leading a 3-XORSAT challenge: from the energy landscape to the algorithm and its efficient implementation on GPUs
M. Bernaschi, M. Bisson, M. Fatica +4
A recent 3-XORSAT challenge required to minimize a very complex and rough energy function, typical of glassy models with a random first order transition and a golf course like ener…
GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows
Pedro Costa, Everett Phillips, Luca Brandt +1
This work presents the GPU acceleration of the open-source code CaNS for very fast massively-parallel simulations of canonical fluid flows. The distinct feature of the many-CPU Nav…
A Performance Study of the 2D Ising Model on GPUs
Joshua Romero, Mauro Bisson, Massimiliano Fatica +1
The simulation of the two-dimensional Ising model is used as a benchmark to show the computational capabilities of Graphic Processing Units (GPUs). The rich programming environment…
Exascale Deep Learning for Climate Analytics
Thorsten Kurth, Sean Treichler, Joshua Romero +9
We extract pixel-level masks of extreme weather patterns using variants of Tiramisu and DeepLabv3+ neural networks. We describe improvements to the software frameworks, input pipel…
AFiD-GPU: a versatile Navier-Stokes Solver for Wall-Bounded Turbulent Flows on GPU Clusters
Xiaojue Zhu, Everett Phillips, Vamsi Spandan +9
The AFiD code, an open source solver for the incompressible Navier-Stokes equations ({\color{blue}\burl{http://www.afid.eu}}), has been ported to GPU clusters to tackle large-scale…
GPU peer-to-peer techniques applied to a cluster interconnect
Roberto Ammendola, Massimo Bernaschi, Andrea Biagioni +11
Modern GPUs support special protocols to exchange data directly across the PCI Express bus. While these protocols could be used to reduce GPU data transmission times, basically by…