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Bharatkumar Sharma
Bharatkumar Sharma
Senior Solution Architect, Nvidia
Verified email at nvidia.com
Title
Cited by
Cited by
Year
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
652009
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
212019
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
192010
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
19*2010
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
122015
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
112018
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
102022
Learn CUDA Programming
J Han, B Sharma
Packt Publishing, 2019
82019
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
42017
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
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
22021
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
Performance analysis of GPU accelerated meshfree q-LSKUM solvers in Fortran, C, Python, and Julia
NR Mamidi, D Saxena, K Prasun, A Nemili, B Sharma, SM Deshpande
2022 IEEE 29th International Conference on High Performance Computing, Data …, 2022
12022
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
12022
Performance of a compressible DNS code on multi-GPU clusters
NH Maruthi, R Ranjan, SM Deshpande, R Narasimha, B Sharma, ...
1*
GPIC: A Set of High-Efficiency CUDA Fortran Code Using GPU for Particle-in-Cell Simulation in Space Physics
Q Xiong, S Huang, Z Yuan, B Sharma, L Kuang, K Jiang, L Yu
Computer Physics Communications, 108994, 2023
2023
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
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Articles 1–19