Towards a robust, real-time face processing system using CUDA-enabled GPUs. - Bharatkumar Sharma; Rahul Thota; Naga Vydyanathan; Amit A. Kale (HiPC, 2009)

Parallel discrete wavelet transform using the Open Computing Language: a performance and portability study. - Bharatkumar Sharma; Naga Vydyanathan (IPDPS Workshops, 2010)

Parceive: Interactive parallelization based on dynamic analysis. - Andreas Wilhelm; Bharatkumar Sharma; Ranajoy Malakar; Tobias Schüle; Michael Gerndt (PCODA@SANER, 2015)

Three Dimensional Pseudo-Spectral Compressible Magnetohydrodynamic GPU Code for Astrophysical Plasma Simulation. - Rupak Mukherjee; R. Ganesh; Vinod Saini; Udaya Maurya; Nagavijayalakshmi Vydyanathan; Bharatkumar Sharma (HiPC Workshops, 2018)

Acceleration of a 3D Immersed Boundary Solver Using OpenACC. - Apurva Raj; Somnath Roy; Nagavijayalakshmi Vydyanathan; Bharatkumar Sharma (HiPC Workshops, 2018)

Acceleration of an Adaptive Cartesian Mesh CFD Solver in the Current Generation Processor Architectures. - Harichand M. V; Bharatkumar Sharma; G. Sudhakaran; V. Ashok (HiPC, 2018)

On the performance of GPU accelerated q-LSKUM based meshfree solvers in Fortran, C++, Python, and Julia. - Nischay Ram Mamidi; Kumar Prasun; Dhruv Saxena; Anil Nemili; Bharatkumar Sharma; S. M. Deshpande (CoRR, 2021)

Performance analysis of GPU accelerated meshfree q-LSKUM solvers in Fortran, C, Python, and Julia. - Nischay Ram Mamidi; Dhruv Saxena; Kumar Prasun; Anil Nemili; Bharatkumar Sharma; S. M. Deshpande (HIPC, 2022)

Scalable Multi-node Fast Fourier Transform on GPUs. - Manthan Verma; Soumyadeep Chatterjee; Gaurav Garg; Bharatkumar Sharma; Nishant Arya; Sashi Kumar; Anish Saxena; Mahendra K. Verma (SN Comput. Sci., 2023)

GPIC: A set of high-efficiency CUDA Fortran code using gpu for particle-in-cell simulation in space physics. - Qiyang Xiong; Shiyong Huang; Zhigang Yuan; Bharatkumar Sharma; Lvlin Kuang; Kui Jiang; Lin Yu (Comput. Phys. Commun., 2024)