Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
Publications
Publications par année
-
Discovering Related Data At Scale
Sagar Bharadwaj, Praveen Gupta, Ranjita Bhagwan, Saikat Guha
VLDB Endowment | August 2021, Vol 14(8)
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Phoebe: A Learning-based Checkpoint Optimizer
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
VLDB 2021 | August 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Publié par Microsoft Research
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
Procedural Extensions of SQL: Understanding their usage in the wild
Surabhi Gupta, Karthik Ramachandra
PVLDB | May 2021, Vol 14(8): pp. 1378-1391
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
VLDB 2021 | January 2021
-
Tensors: An abstraction for general data processing
Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi
VLDB 2021 | December 2020
Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling
Sepanta Zeighami, Cyrus Shahabi, John Krumm
VLDB 2021 | December 2020
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
VLDB 2021 | September 2020
Top project in Azure All Hands 2021
Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
Filtre par zone de recherche
-
Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Phoebe: A Learning-based Checkpoint Optimizer
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
VLDB 2021 | August 2021
Discovering Related Data At Scale
Sagar Bharadwaj, Praveen Gupta, Ranjita Bhagwan, Saikat Guha
VLDB Endowment | August 2021, Vol 14(8)
Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Publié par Microsoft Research
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
Procedural Extensions of SQL: Understanding their usage in the wild
Surabhi Gupta, Karthik Ramachandra
PVLDB | May 2021, Vol 14(8): pp. 1378-1391
Tensors: An abstraction for general data processing
Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi
VLDB 2021 | December 2020
Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling
Sepanta Zeighami, Cyrus Shahabi, John Krumm
VLDB 2021 | December 2020
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
VLDB 2021 | September 2020
Top project in Azure All Hands 2021
Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
-
Tensors: An abstraction for general data processing
Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi
VLDB 2021 | December 2020
-
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
VLDB 2021 | January 2021
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
VLDB 2021 | September 2020
Top project in Azure All Hands 2021
-
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
-
Discovering Related Data At Scale
Sagar Bharadwaj, Praveen Gupta, Ranjita Bhagwan, Saikat Guha
VLDB Endowment | August 2021, Vol 14(8)
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
VLDB 2021 | January 2021
-
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
-
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
Publication Type
-
Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Phoebe: A Learning-based Checkpoint Optimizer
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
VLDB 2021 | August 2021
Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
VLDB 2021 | January 2021
Tensors: An abstraction for general data processing
Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi
VLDB 2021 | December 2020
Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling
Sepanta Zeighami, Cyrus Shahabi, John Krumm
VLDB 2021 | December 2020
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
VLDB 2021 | September 2020
Top project in Azure All Hands 2021
Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
-
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Publié par Microsoft Research
-
Discovering Related Data At Scale
Sagar Bharadwaj, Praveen Gupta, Ranjita Bhagwan, Saikat Guha
VLDB Endowment | August 2021, Vol 14(8)
Procedural Extensions of SQL: Understanding their usage in the wild
Surabhi Gupta, Karthik Ramachandra
PVLDB | May 2021, Vol 14(8): pp. 1378-1391