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The Tensor Data Platform: Towards an AI-centric Database System


Nov 04, 2022
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi

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* Accepted for publication at The Conference on Innovative Data Systems Research (CIDR) 2023 

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End-to-end Optimization of Machine Learning Prediction Queries


May 31, 2022
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos

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Query Processing on Tensor Computation Runtimes


Mar 03, 2022
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi

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Predictive Price-Performance Optimization for Serverless Query Processing


Dec 16, 2021
Rathijit Sen, Abhishek Roy, Alekh Jindal

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Optimal Resource Allocation for Serverless Queries


Jul 19, 2021
Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen

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Extending Relational Query Processing with ML Inference


Nov 01, 2019
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandal, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino

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Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML


Aug 30, 2019
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Gowdal, Matteo Interlandi, Alekh Jindal, Kostantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu

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