3 citations · 4 across the 5 of their papers we have counts for
5 papers
Petascale Brownian dynamics simulations of highly resolved polymer chains with hydrodynamic interactions using modern GPUs
Venkata Siva Krishna, Praphul Kumar, Bharatkumar Sharma +1
Brownian dynamics simulations of fairly long, highly detailed polymer chains, at the resolution of a single Kuhn step, remains computationally prohibitive even on the modern proces…
Scalable Multi-node Fast Fourier Transform on GPUs
Manthan Verma, Soumyadeep Chatterjee, Gaurav Garg +5
In this paper, we present the details of our multi-node GPU-FFT library, as well its scaling on Selene HPC system. Our library employs slab decomposition for data division and MPI…
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials
B V S S Bharadwaja, Mohammad Amin Nabian, Bharatkumar Sharma +2
In this work, a model based on the Physics - Informed Neural Networks (PINNs) for solving elastic deformation of heterogeneous solids and associated Uncertainty Quantification (UQ)…
On the performance of GPU accelerated q-LSKUM based meshfree solvers in Fortran, C++, Python, and Julia
Nischay Ram Mamidi, Kumar Prasun, Dhruv Saxena +3
This report presents a comprehensive analysis of the performance of GPU accelerated meshfree CFD solvers for two-dimensional compressible flows in Fortran, C++, Python, and Julia.…
Three Dimensional Pseudo-Spectral Compressible Magnetohydrodynamic GPU Code for Astrophysical Plasma Simulation
Rupak Mukherjee, Rajaraman Ganesh, Vinod Saini +3
This paper presents the benchmarking and scaling studies of a GPU accelerated three dimensional compressible magnetohydrodynamic code. The code is developed keeping an eye to expla…