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Anwesha Das
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2020 – today
- 2024
- [j3]Anwesha Das
, Zekun Wu
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction. Proc. ACM Hum. Comput. Interact. 8(ETRA): 1-18 (2024) - [i1]Anwesha Das, Zekun Wu, Iza Skrjanec, Anna Maria Feit:
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction. CoRR abs/2404.14232 (2024) - 2023
- [c7]Anwesha Das, Alex Aiken:
Prolego: Time-Series Analysis for Predicting Failures in Complex Systems. ACSOS 2023: 77-86 - 2022
- [c6]Anwesha Das, Daniel Ratner, Alex Aiken:
Performance Variability and Causality in Complex Systems. ACSOS-C 2022: 19-24 - 2021
- [c5]Anwesha Das, Frank Mueller, Barry Rountree:
Systemic Assessment of Node Failures in HPC Production Platforms. IPDPS 2021: 267-276 - 2020
- [c4]Anwesha Das, Frank Mueller, Barry Rountree:
Aarohi: Making Real-Time Node Failure Prediction Feasible. IPDPS 2020: 1092-1101
2010 – 2019
- 2018
- [j2]Anwesha Das
KeyValueServe†: Design and performance analysis of a multi-tenant data grid as a cloud service. Concurr. Comput. Pract. Exp. 30(14) (2018) - [c3]Anwesha Das, Frank Mueller, Charles Siegel, Abhinav Vishnu:
Desh: deep learning for system health prediction of lead times to failure in HPC. HPDC 2018: 40-51 - [c2]Anwesha Das, Frank Mueller, Paul Hargrove, Eric Roman, Scott B. Baden:
Doomsday: predicting which node will fail when on supercomputers. SC 2018: 9:1-9:14 - 2016
- [c1]Anwesha Das, Frank Mueller, Xiaohui Gu, Arun Iyengar:
Performance Analysis of a Multi-tenant In-Memory Data Grid. CLOUD 2016: 956-959 - 2012
- [j1]Mayank Mishra, Anwesha Das, Purushottam Kulkarni, Anirudha Sahoo:
Dynamic resource management using virtual machine migrations. IEEE Commun. Mag. 50(9): 34-40 (2012)
Coauthor Index
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last updated on 2024-08-03 21:11 CEST by the dblp team
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