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Kamesh Arumugam
Kamesh Arumugam
NVIDIA and Department of Computer Science, Old Dominion University
Verified email at nvidia.com
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Year
Harnessing the power of multi-GPU acceleration into the quantum interaction computational kernel program
M Manathunga, C Jin, VWD Cruzeiro, Y Miao, D Mu, K Arumugam, ...
Journal of Chemical Theory and Computation 17 (7), 3955-3966, 2021
202021
An efficient deterministic parallel algorithm for adaptive multidimensional numerical integration on gpus
K Arumugam, A Godunov, D Ranjan, B Terzic, M Zubair
2013 42nd International Conference on Parallel Processing, 486-491, 2013
162013
A memory efficient algorithm for adaptive multidimensional integration with multiple GPUs
K Arumugam, A Godunov, D Ranjan, B Terzić, M Zubair
20th Annual International Conference on High Performance Computing, 169-175, 2013
122013
Long-term simulations of beam-beam dynamics on GPUs
B Terzić, K Arumugam, R Majeti, C Cotnoir, M Stefani, D Ranjan, ...
62017
Memory-efficient parallel simulation of electron beam dynamics using GPUs
K Arumugam, D Ranjan, M Zubair, B Terzić, A Godunov
2016 IEEE 23rd International Conference on High Performance Computing (HiPC …, 2016
62016
High-fidelity simulation of collective effects in electron beams using an innovative parallel method
K Arumugam, D Ranjan, M Zubair, A Godunov, B Terzić
Proceedings of the Conference on Summer Computer Simulation, 1-10, 2015
52015
PAGANI: a parallel adaptive GPU algorithm for numerical integration
I Sakiotis, K Arumugam, M Paterno, D Ranjan, B Terzić, M Zubair
Proceedings of the International Conference for High Performance Computing …, 2021
32021
A machine learning approach for efficient parallel simulation of beam dynamics on GPUs
K Arumugam, D Ranjan, M Zubair, B Terzić, A Godunov, T Islam
2017 46th International Conference on Parallel Processing (ICPP), 462-471, 2017
32017
m-Cubes: An Efficient and Portable Implementation of Multi-dimensional Integration for GPUs
I Sakiotis, K Arumugam, M Paterno, D Ranjan, B Terzić, M Zubair
International Conference on High Performance Computing, 192-209, 2022
22022
GPU-accelerated high-fidelity simulation of beam-beam effects in particle colliders
K Arumugam, RT Majeti, D Ranjan, M Zubair, A Godunov, B Terzić
Proceedings of the Summer Simulation Multi-Conference, 1-12, 2017
22017
Porting numerical integration codes from cuda to oneapi: a case study
I Sakiotis, K Arumugam, M Paterno, D Ranjan, B Terzić, M Zubair
International Conference on High Performance Computing, 339-358, 2023
12023
High-Fidelity Simulations of Long-Term Beam-Beam Dynamics on GPUs
B Terzić, K Arumugam, M Aturban, C Cotnoir, A Godunov, D Ranjan, ...
12016
High-performance simulations of coherent synchrotron radiation on multicore GPU and CPU platforms
B Terzić, A Godunov, K Arumugam, D Ranjan, M Zubair
12015
PAGANI: A Parallel Adaptive GPU Algorithm for Numerical
I Sakiotis, K Arumugam, M Paterno, D Ranjan, B Terzić, M Zubair
arXiv preprint arXiv:2104.06494, 2021
2021
Efficient Parallel Multi-bunch Beam-Beam Simulation in Particle Colliders
I Sakiotis, K Arumugam, D Ranjan, B Terzic, M Zubair
2019 IEEE 26th International Conference on High Performance Computing, Data …, 2019
2019
Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures
K Arumugam
Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA …, 2017
2017
Simulations of Coherent Synchrotron Radiation on Parallel Hybrid GPU/CPU Platform
B Terzić, K Arumugam, D Duffin, A Godunov, T Islam, D Ranjan, ...
2017
High-fidelity simulations of electron accelerators using an innovative GPU-optimized code
K Arumugam, A Godunov, D Ranjan, B Terzic, M Zubair
Virginia Modeling, Analysis and Simulation Center, 12, 2014
2014
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