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Rupinder Virk
Rupinder Virk
TCS Research
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Title
Cited by
Cited by
Year
System and method facilitating performance prediction of multi-threaded application in presence of resource bottlenecks
S Duttagupta, RS Virk, MK Nambiar
US Patent 9,317,330, 2016
242016
Method and system for pre-deployment performance estimation of input-output intensive workloads
D Chahal, RS Virk, MK Nambiar
US Patent 10,558,549, 2020
112020
Predicting performance in the presence of software and hardware resource bottlenecks
S Duttagupta, R Virk, M Nambiar
International Symposium on Performance Evaluation of Computer and …, 2014
112014
Fast online'next best offers' using deep learning
R Singhal, G Shroff, M Kumar, SR Choudhury, S Kadarkar, R Virk, ...
Proceedings of the ACM India Joint International Conference on Data Science …, 2019
92019
High performance distributed in-memory architectures for trade surveillance system
R Bansod, S Kadarkar, R Virk, M Raval, R Rashinkar, M Nambiar
2018 17th International Symposium on Parallel and Distributed Computing …, 2018
62018
Low Latency, High Throughput Trade Surveillance System Using In-Memory Data Grid
R Bansod, R Virk, M Raval
Proceedings of the 12th ACM International Conference on Distributed and …, 2018
52018
Software bottleneck analysis during performance testing
S Duttagupta, R Virk, M Nambiar
2015 International Conference and Workshop on Computing and Communication …, 2015
52015
Performance extrapolation of io intensive workloads: Work in progress
D Chahal, R Virk, M Nambiar
Proceedings of the 7th ACM/SPEC on International Conference on Performance …, 2016
32016
Trace replay based i/o performance studies for enterprise workload migration
R Virk, D Chahal
2nd Annual Conference of CMG India, page Online, 2015
32015
Performance Extrapolation across Servers.
S Duttagupta, RS Virk, A Khanapurkar
Int. CMG Conference, 2013
22013
Perfext: Performance extrapolation tool
S Duttagupta, RS Virk
2012 Fourth International Conference on Computational Intelligence …, 2012
12012
Systems and methods for real time configurable recommendation using user data
R Singhal, G Shroff, V Tewari, S Kadarkar, S Verma, SR Choudhury, L Vig, ...
US Patent 11,488,032, 2022
2022
Sistema y método que facilitan la predicción del rendimiento de la aplicación multi-hilo en presencia de cuellos de botella de recursos
S Duttagupta, RS Virk, MK karan Nambiar
2017
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Articles 1–13