Следене
Bharatkumar Sharma
Bharatkumar Sharma
Senior Solution Architect, Nvidia
Потвърден имейл адрес: nvidia.com
Заглавие
Позовавания
Позовавания
Година
Towards a robust, real-time face processing system using CUDA-enabled GPUs
B Sharma, R Thota, N Vydyanathan, A Kale
High Performance Computing (HiPC), 2009 International Conference on, 368-377, 2009
672009
Learn CUDA Programming: A beginner's guide to GPU programming and parallel computing with CUDA 10. x and C/C++
J Han, B Sharma
Packt Publishing Ltd, 2019
172019
Parallel discrete wavelet transform using the open computing language: a performance and portability study
B Sharma, N Vydyanathan
Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 …, 2010
162010
Parceive: Interactive parallelization based on dynamic analysis
A Wilhelm, B Sharmay, R Malakary, T Schule, M Gerndt
Program Comprehension through Dynamic Analysis (PCODA), 2015 IEEE 6th …, 2015
102015
Acceleration of a 3D Immersed Boundary Solver Using OpenACC
A Raj, S Roy, N Vydyanathar, B Sharma
2018 IEEE 25th International Conference on High Performance Computing …, 2018
82018
Three Dimensional Pseudo-Spectral Compressible Magnetohydrodynamic GPU Code for Astrophysical Plasma Simulation
R Mukherjee, R Ganesh, V Saini, U Maurya, N Vydyanathan, B Sharma
arXiv preprint arXiv:1810.12707, 2018
32018
GPU Acceleration of a DNS code for Gas Turbine Blade Simulations
NH Maruthi, R Ranjan, R Narasimha, SM Deshpande, B Sharma, ...
Computational Science Symposium, IISc, Bangalore, 2017
32017
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials
B Bharadwaja, MA Nabian, B Sharma, S Choudhry, A Alankar
arXiv preprint arXiv:2202.10423, 2022
22022
GPU-Accelerated Scalable Solver for Large Linear Systems over Finite Fields
I Gupta, P Verma, V Deshpande, N Vydyanathan, B Sharma
2018 Fifth International Conference on Parallel, Distributed and Grid …, 2018
22018
Naga Vydyanathan:“Parallel Discrete Wavelet Transformation using the Open Computing Language: a performance and portability study”
B Sharma
Proc. of Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW …, 2010
22010
On the performance of GPU accelerated q-LSKUM based meshfree solvers in Fortran, C++, Python, and Julia
NR Mamidi, K Prasun, D Saxena, A Nemili, B Sharma, SM Deshpande
arXiv preprint arXiv:2108.07031, 2021
12021
Petascale Brownian dynamics simulations of highly resolved polymer chains with hydrodynamic interactions using modern GPUs
VS Krishna, P Kumar, B Sharma, IS Dalal
arXiv preprint arXiv:2208.06559, 2022
2022
Scalable Multi-node Fast Fourier Transform on GPUs
M Verma, S Chatterjee, G Garg, B Sharma, N Arya, S Kumar, A Saxena, ...
arXiv preprint arXiv:2202.12756, 2022
2022
Acceleration of an Adaptive Cartesian Mesh CFD Solver in the Current Generation Processor Architectures
MV Harichand, B Sharma, G Sudhakaran, V Ashok
2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018
2018
Towards a catalog of performance smells for parallel computing
B Sharma, G Suryanarayana
Proceedings of the 22nd Conference on Pattern Languages of Programs, 13, 2015
2015
Performance of a compressible DNS code on multi-GPU clusters
NH Maruthi, R Ranjan, SM Deshpande, R Narasimha, B Sharma, ...
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