Vikram Jadhao

According to our database, Vikram Jadhao authored at least 12 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

SciSpot: Scientific Computing On Temporally Constrained Cloud Preemptible VMs.

J. C. S. Kadupitiya, Vikram Jadhao, Prateek Sharma

IEEE Trans. Parallel Distributed Syst., 2022

Solving Newton's equations of motion with large timesteps using recurrent neural networks based operators.

J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao

Mach. Learn. Sci. Technol., 2022

2021

Designing Machine Learning Surrogates using Outputs of Molecular Dynamics Simulations as Soft Labels.

J. C. S. Kadupitiya, Nasim Anousheh, Vikram Jadhao

CoRR, 2021

Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms.

Prateek Sharma, Vikram Jadhao

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Machine learning surrogates for molecular dynamics simulations of soft materials.

J. C. S. Kadupitiya, Fanbo Sun, Geoffrey C. Fox, Vikram Jadhao

J. Comput. Sci., 2020

Machine learning for parameter auto-tuning in molecular dynamics simulations: Efficient dynamics of ions near polarizable nanoparticles.

J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao

Int. J. High Perform. Comput. Appl., 2020

Simulating Molecular Dynamics with Large Timesteps using Recurrent Neural Networks.

J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao

CoRR, 2020

Integrating Machine Learning with HPC-driven Simulations for Enhanced Student Learning.

Vikram Jadhao, J. C. S. Kadupitiya

Proceedings of the IEEE/ACM Workshop on Education for High-Performance Computing, 2020

Modeling The Temporally Constrained Preemptions of Transient Cloud VMs.

J. C. S. Kadupitige, Vikram Jadhao, Prateek Sharma

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

Modeling Constrained Preemption Dynamics Of Transient Cloud Servers.

Prateek Sharma, J. C. S. Kadupitiya, Vikram Jadhao

CoRR, 2019

Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation.

Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Machine Learning for Performance Enhancement of Molecular Dynamics Simulations.

J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao

Proceedings of the Computational Science - ICCS 2019, 2019