Scispot: Scientific computing on temporally constrained cloud preemptible vms

JCS Kadupitiya, V Jadhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Scientific computing applications are being increasingly deployed on cloud computing
platforms. Transient servers such as EC2 spot instances and Google Preemptible VMs, can …

Modeling the temporally constrained preemptions of transient cloud vms

JCS Kadupitige, V Jadhao, P Sharma - Proceedings of the 29th …, 2020 - dl.acm.org
Transient cloud servers such as Amazon Spot instances, Google Preemptible VMs, and
Azure Low-priority batch VMs, can reduce cloud computing costs by as much as 10x, but can …

Integrating machine learning with hpc-driven simulations for enhanced student learning

V Jadhao, JCS Kadupitiya - 2020 IEEE/ACM Workshop on …, 2020 - ieeexplore.ieee.org
We explore the idea of integrating machine learning (ML) with high performance computing
(HPC)-driven simulations to address challenges in using simulations to teach computational …

[图书][B] Enhancing Molecular Dynamics Simulations with Machine Learning and Advanced Cyberinfrastructure

JCSK Kadupitige - 2022 - search.proquest.com
Molecular dynamics simulations accelerated by high-performance computing methods are
powerful tools for investigating and extracting the microscopic mechanisms characterizing …

[PDF][PDF] Enhancing Nanoscale Simulations with Machine Learning and Advanced Cyberinfrastructure

JCSK Kadupitige - 2021 - academia.edu
Molecular dynamics (MD) simulations accelerated by high-performance computing methods
are powerful tools for investigating and extracting the microscopic mechanisms …

[PDF][PDF] Survey on Deep Learning Models for Time Series Data

JCSK Kadupitige, G Fox, V Jadhao, M Kim - researchgate.net
Molecular dynamics (MD) simulations accelerated by high-performance computing (HPC)
methods are powerful tools for investigating and extracting the microscopic mechanisms …