Vikram Jadhao

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 15

Top Topics

Recurrent Neural Networks

Cloud Computing

Machine Learning

Molecular Dynamics

Top Venues

Mach. Learn. Sci. Technol.

J. Comput. Sci.

Publications

J. C. S. Kadupitiya, Vikram Jadhao, Prateek Sharma
SciSpot: Scientific Computing On Temporally Constrained Cloud Preemptible VMs. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
Solving Newton's equations of motion with large timesteps using recurrent neural networks based operators. Mach. Learn. Sci. Technol. 3 (2) (2022)
Prateek Sharma, Vikram Jadhao
Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms. CLOUD (2021)
Prateek Sharma, Vikram Jadhao
Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms. CoRR (2021)
J. C. S. Kadupitiya, Nasim Anousheh, Vikram Jadhao
Designing Machine Learning Surrogates using Outputs of Molecular Dynamics Simulations as Soft Labels. CoRR (2021)
J. C. S. Kadupitige, Vikram Jadhao, Prateek Sharma
Modeling The Temporally Constrained Preemptions of Transient Cloud VMs. HPDC (2020)
J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
Machine learning for parameter auto-tuning in molecular dynamics simulations: Efficient dynamics of ions near polarizable nanoparticles. Int. J. High Perform. Comput. Appl. 34 (3) (2020)
J. C. S. Kadupitiya, Fanbo Sun, Geoffrey C. Fox, Vikram Jadhao
Machine learning surrogates for molecular dynamics simulations of soft materials. J. Comput. Sci. 42 (2020)
J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
Simulating Molecular Dynamics with Large Timesteps using Recurrent Neural Networks. CoRR (2020)
Vikram Jadhao, J. C. S. Kadupitiya
Integrating Machine Learning with HPC-driven Simulations for Enhanced Student Learning. CoRR (2020)
Vikram Jadhao, J. C. S. Kadupitiya
Integrating Machine Learning with HPC-driven Simulations for Enhanced Student Learning. EduHPC@SC (2020)
Prateek Sharma, J. C. S. Kadupitiya, Vikram Jadhao
Modeling Constrained Preemption Dynamics Of Transient Cloud Servers. CoRR (2019)
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. CoRR (2019)
J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
Machine Learning for Performance Enhancement of Molecular Dynamics Simulations. ICCS (2) (2019)
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. IPDPS Workshops (2019)