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ORCIDAlok Singh 0004
Person information
- affiliation: University of California, San Diego Supercomputer Center, La Jolla, CA, USA
Other persons with the same name
- Alok Singh — disambiguation page
- Alok Singh 0001
![[0000-0003-3585-4957]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3585-4957")
— University of Hyderabad, School of Computer and Information Sciences, India (and 1 more) - Alok Singh 0002 — Motilal Nehru National Institute of Technology, Allahabad, India
- Alok Singh 0003 — Verayo, Inc., San Jose, CA, USA
- Alok Singh 0005 — National Institute of Technology Goa, Department of Computer Science and Engineering, Ponda, India
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2020 – today
- 2021
[j2]Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas:
Modular performance prediction for scientific workflows using Machine Learning. Future Gener. Comput. Syst. 114: 1-14 (2021)
2010 – 2019
- 2019
- [j1]Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Toward a Methodology and Framework for Workflow-Driven Team Science. Comput. Sci. Eng. 21(4): 37-48 (2019) - [i3]Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Towards A Methodology and Framework for Workflow-Driven Team Science. CoRR abs/1903.01403 (2019) - 2018
- [c6]Alok Singh, Ilkay Altintas, Malachi Schram, Nathan R. Tallent:
Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. IEEE BigData 2018: 3905-3914 - [i2]Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas:
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. CoRR abs/1804.06062 (2018) - 2017
- [c5]Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas:
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. eScience 2017: 586-591 - [c4]Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas:
A machine learning approach for modular workflow performance prediction. WORKS@SC 2017: 7:1-7:11 - [i1]Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas:
Modular Resource Centric Learning for Workflow Performance Prediction. CoRR abs/1711.05429 (2017) - 2016
- [c3]Alok Singh, Eric G. Stephan, Todd Elsethagen, Matt MacDuff, Bibi Raju, Malachi Schram, Kerstin Kleese van Dam, Darren J. Kerbyson, Ilkay Altintas:
Leveraging large sensor streams for robust cloud control. IEEE BigData 2016: 2115-2120 - [c2]Daniel Crawl, Alok Singh, Ilkay Altintas:
Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows. ICCS 2016: 673-679 - [c1]Ankit Goyal, Alok Singh, Shitij Bhargava, Daniel Crawl, Ilkay Altintas, Chun-Nan Hsu:
Natural Language Processing using Kepler Workflow System: First Steps. ICCS 2016: 712-721
Coauthor Index
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