Matteo Interlandi
Matteo Interlandi
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Cited by
Big data analytics with datalog queries on spark
A Shkapsky, M Yang, M Interlandi, H Chiu, T Condie, C Zaniolo
Proceedings of the 2016 International Conference on Management of Data, 1135 …, 2016
Titian: Data provenance support in spark
M Interlandi, K Shah, SD Tetali, MA Gulzar, S Yoo, M Kim, T Millstein, ...
Proceedings of the VLDB Endowment International Conference on Very Large …, 2015
Programming and runtime support to blaze FPGA accelerator deployment at datacenter scale
M Huang, D Wu, CH Yu, Z Fang, M Interlandi, T Condie, J Cong
Proceedings of the Seventh ACM Symposium on Cloud Computing, 456-469, 2016
Bigdebug: Debugging primitives for interactive big data processing in spark
MA Gulzar, M Interlandi, S Yoo, SD Tetali, T Condie, T Millstein, M Kim
2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE …, 2016
{PRETZEL}: Opening the black box of machine learning prediction serving systems
Y Lee, A Scolari, BG Chun, MD Santambrogio, M Weimer, M Interlandi
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
QUEST: a keyword search system for relational data based on semantic and machine learning techniques
S Bergamaschi, F Guerra, M Interlandi, R Trillo Lado, Y Velegrakis
Combining user and database perspective for solving keyword queries over relational databases
S Bergamaschi, F Guerra, M Interlandi, R Trillo-Lado, Y Velegrakis
Information Systems 55, 1-19, 2016
Machine learning at Microsoft with ML. NET
Z Ahmed, S Amizadeh, M Bilenko, R Carr, WS Chin, Y Dekel, X Dupre, ...
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Extending relational query processing with ML inference
K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ...
arXiv preprint arXiv:1911.00231, 2019
Proof positive and negative in data cleaning
M Interlandi, N Tang
2015 IEEE 31st International Conference on Data Engineering, 18-29, 2015
Fixpoint semantics and optimization of recursive datalog programs with aggregates
C Zaniolo, M Yang, A Das, A Shkapsky, T Condie, M Interlandi
Theory and Practice of Logic Programming 17 (5-6), 1048-1065, 2017
Adding data provenance support to Apache Spark
M Interlandi, A Ekmekji, K Shah, MA Gulzar, SD Tetali, M Kim, T Millstein, ...
The VLDB Journal 27 (5), 595-615, 2018
Automated debugging in data-intensive scalable computing
MA Gulzar, M Interlandi, X Han, M Li, T Condie, M Kim
Proceedings of the 2017 Symposium on Cloud Computing, 520-534, 2017
Data science through the looking glass and what we found there
F Psallidas, Y Zhu, B Karlas, M Interlandi, A Floratou, K Karanasos, W Wu, ...
arXiv preprint arXiv:1912.09536, 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, ...
arXiv preprint arXiv:1909.00084, 2019
Coded elastic computing
Y Yang, M Interlandi, P Grover, S Kar, S Amizadeh, M Weimer
2019 IEEE International Symposium on Information Theory (ISIT), 2654-2658, 2019
A tensor compiler for unified machine learning prediction serving
S Nakandala, K Saur, GI Yu, K Karanasos, C Curino, M Weimer, ...
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020
Building continuous integration services for machine learning
B Karlaš, M Interlandi, C Renggli, W Wu, C Zhang, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
From the Edge to the Cloud: Model Serving in ML. NET.
Y Lee, A Scolari, BG Chun, M Weimer, M Interlandi
IEEE Data Eng. Bull. 41 (4), 46-53, 2018
Rios: Runtime integrated optimizer for spark
Y Li, M Li, L Ding, M Interlandi
Proceedings of the ACM Symposium on Cloud Computing, 275-287, 2018
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