Kamesh Arumugam

Orcid: 0000-0002-6482-6237

According to our database1, Kamesh Arumugam authored at least 12 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

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Bibliography

2023
Porting Numerical Integration Codes from CUDA to oneAPI: A Case Study.
Proceedings of the High Performance Computing - 38th International Conference, 2023

2022
m-Cubes: An Efficient and Portable Implementation of Multi-dimensional Integration for GPUs.
Proceedings of the High Performance Computing - 37th International Conference, 2022

2021
PAGANI: A Parallel Adaptive GPU Algorithm for Numerical.
CoRR, 2021

PAGANI: a parallel adaptive GPU algorithm for numerical integration.
Proceedings of the International Conference for High Performance Computing, 2021

2019
Efficient Parallel Multi-bunch Beam-Beam Simulation in Particle Colliders.
Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

2017
Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures.
PhD thesis, 2017

GPU-accelerated high-fidelity simulation of beam-beam effects in particle colliders.
Proceedings of the Summer Simulation Multi-Conference, 2017

A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs.
Proceedings of the 46th International Conference on Parallel Processing, 2017

2016
Memory-Efficient Parallel Simulation of Electron Beam Dynamics Using GPUs.
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

2015
High-fidelity simulation of collective effects in electron beams using an innovative parallel method.
Proceedings of the Conference on Summer Computer Simulation, 2015

2013
An Efficient Deterministic Parallel Algorithm for Adaptive Multidimensional Numerical Integration on GPUs.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

A memory efficient algorithm for adaptive multidimensional integration with multiple GPUs.
Proceedings of the 20th Annual International Conference on High Performance Computing, 2013


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