Articles with public access mandates - Manish ParasharLearn more
Not available anywhere: 20
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows
P Subedi, P Davis, S Duan, S Klasky, H Kolla, M Parashar
SC18: International Conference for High Performance Computing, Networking …, 2018
Mandates: US National Science Foundation, US Department of Energy
Translational research in computer science
D Abramson, M Parashar
Computer 52 (9), 16-23, 2019
Mandates: US National Science Foundation
Online failure prediction for hpc resources using decentralized clustering
A Pelaez, A Quiroz, JC Browne, E Chuah, M Parashar
2014 21st International Conference on High Performance Computing (HiPC), 1-9, 2014
Mandates: US Department of Energy
Dynamic adaptation of policies using machine learning
A Pelaez, A Quiroz, M Parashar
2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016
Mandates: US National Science Foundation, US Department of Energy
Autonomic grid computing: concepts, requirements, and infrastructure
M Parashar
Autonomic Computing, 73-94, 2018
Mandates: US National Science Foundation, US Department of Energy
Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis
E Chuah, A Jhumka, S Alt, D Balouek-Thomert, JC Browne, M Parashar
Journal of Parallel and Distributed Computing 132, 95-112, 2019
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
A programming system for autonomic self-managing applications
H Liu, M Parashar
Autonomic Computing, 235-260, 2018
Mandates: US National Science Foundation, US Department of Energy
Trading data size and cnn confidence score for energy efficient cps node communications
I Raïs, O Anshus, JM Bjørndalen, D Balouek-Thomert, M Parashar
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
Mandates: Research Council of Norway
Leveraging machine learning for anticipatory data delivery in extreme scale in-situ workflows
P Subedi, PE Davis, M Parashar
2019 IEEE International Conference on Cluster Computing (CLUSTER), 1-11, 2019
Mandates: US Department of Energy
Pulsar: Enabling dynamic data-driven IoT applications
E Renart, D Balouek-Thomert, M Parashar
2017 IEEE 2nd International Workshops on Foundations and Applications of …, 2017
Mandates: US National Science Foundation
Staging based task execution for data-driven, in-situ scientific workflows
Z Wang, P Subedi, M Dorier, PE Davis, M Parashar
2020 IEEE International Conference on Cluster Computing (CLUSTER), 209-220, 2020
Mandates: US Department of Energy
Using resource use data and system logs for HPC system error propagation and recovery diagnosis
E Chuah, A Jhumka, S Alt, JJ Villalobos, J Fryman, W Barth, M Parashar
2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2019
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
Distributed multi-cloud based building data analytics
I Petri, J Diaz-Montes, M Zou, AR Zamani, TH Beach, OF Rana, ...
Developing Interoperable and Federated Cloud Architecture, 143-169, 2016
Mandates: US National Science Foundation
Two-stage framework for big spatial data analytics to support disaster response
X Hu, J Gong, EG Renard, M Parashar
2019 IEEE International Conference on Big Data (Big Data), 5409-5418, 2019
Mandates: National Natural Science Foundation of China
WA-DataSpaces: Exploring the data staging abstractions for wide-area distributed scientific workflows
MF Aktas, J Diaz-Montes, I Rodero, M Parashar
2017 46th International Conference on Parallel Processing (ICPP), 251-260, 2017
Mandates: US National Science Foundation, US Department of Energy
Capacity management for streaming applications over cloud infrastructures with micro billing models
R Tolosana-Calasanz, J Diaz-Montes, LF Bittencourt, O Rana, ...
Proceedings of the 9th International Conference on Utility and Cloud …, 2016
Mandates: US National Science Foundation, Government of Spain
D3w: Towards self-management of distributed data-driven workflows with qos guarantees
M Zou, J Diaz-Montes, K Nagaraja, N Radia, M Parashar
2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 148-155, 2016
Mandates: US National Science Foundation
Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization
Z Wang, M Dorier, M Parashar
2022 IEEE/ACM International Workshop on In Situ Infrastructures for Enabling …, 2022
Mandates: US Department of Energy
Platforms for edge computing and internet of things applications: A survey
D Balouek-Thomert, M Parashar
Proceedings of the 2021 Thirteenth International Conference on Contemporary …, 2021
Mandates: US National Science Foundation
Computing Everywhere, All at Once: Harnessing the Computing Continuum for Science
M Parashar
Proceedings of the 32nd International Symposium on High-Performance Parallel …, 2023
Mandates: US National Science Foundation
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