Abhishek Roy
Abhishek Roy
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Cited by
Cited by
Event detection from flickr data through wavelet-based spatial analysis
L Chen, A Roy
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis.
Y Diao, A Roy, T Bloom
CIDR, 2015
Peregrine: Workload Optimization for Cloud Query Engines
A Jindal, H Patel, A Roy, S Qiao, Z Yin, R Sen, S Krishnan
Proceedings of the ACM Symposium on Cloud Computing, 416-427, 2019
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ...
CIDR, 2020
Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study
A Roy, Y Diao, U Evani, A Abhyankar, C Howarth, R Le Priol, T Bloom
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
Massive genomic data processing and deep analysis
A Roy, Y Diao, E Mauceli, Y Shen, BL Wu
Proceedings of the VLDB Endowment 5 (12), 1906-1909, 2012
SparkCruise: handsfree computation reuse in Spark
A Roy, A Jindal, H Patel, A Gosalia, S Krishnan, C Curino
Proceedings of the VLDB Endowment 12 (12), 1850-1853, 2019
Phoebe: A Learning-based Checkpoint Optimizer
Y Zhu, M Interlandi, A Roy, K Das, H Patel, M Bag, H Sharma, A Jindal
Proc. VLDB Endow. 14 (11), 2505-2518, 2021
SparkCruise: workload optimization in managed spark clusters at Microsoft
A Roy, A Jindal, P Gomatam, X Ouyang, A Gosalia, N Ravi, S Mann, ...
Proceedings of the VLDB Endowment 14 (12), 3122-3134, 2021
AutoExecutor: Predictive Parallelism for Spark SQL Queries
R Sen, A Roy, A Jindal, R Fang, J Zheng, X Liu, R Li
Proc. VLDB Endow. 14 (12), 2855-2858, 2021
Production Experiences from Computation Reuse at Microsoft
A Jindal, S Qiao, H Patel, A Roy, J Leeka, B Haynes
Proceedings of the 24th International Conference on Extending Database …, 2021
Predictive Price-Performance Optimization for Serverless Query Processing
R Sen, A Roy, A Jindal
arXiv preprint arXiv:2112.08572, 2021
PerfGuard: deploying ML-for-systems without performance regressions, almost!
R Ammerlaan, G Antonius, M Friedman, HMS Hossain, A Jindal, ...
Proceedings of the VLDB Endowment 14 (13), 3362-3375, 2021
PerfGuard: Deploying ML-for-Systems without Performance Regressions
HMS Hossain, L Rosenblatt, G Antonius, I Shaffer, R Ammerlaan, A Roy, ...
Workshop on MLOps Systems, 2020
System and method for machine learning for system deployments without performance regressions
IR Shaffer, RHL Ammerlaan, G Antonius, MT Friedman, ROY Abhishek, ...
US Patent App. 16/840,205, 2021
Cloud based query workload optimization
CA Patel, Hiren S and Sen, Rathijit and Yin, Zhicheng and Shi, QIAO and ...
US Patent App. 16/581,905, 2021
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