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Extending Relational Query Processing with ML Inference

Extending Relational Query Processing with ML Inference

1 November 2019
Konstantinos Karanasos
Matteo Interlandi
Doris Xin
Fotis Psallidas
Rathijit Sen
Kwanghyun Park
I. Popivanov
Supun Nakandala
Subru Krishnan
Markus Weimer
Yuan Yu
R. Ramakrishnan
Carlo Curino
ArXiv (abs)PDFHTML

Papers citing "Extending Relational Query Processing with ML Inference"

18 / 18 papers shown
Title
Personalized Top-k Set Queries Over Predicted Scores
Personalized Top-k Set Queries Over Predicted Scores
Sohrab Namazi Nia
Subhodeep Ghosh
Senjuti Basu Roy
S. Amer-Yahia
161
0
0
18 Feb 2025
Picachv: Formally Verified Data Use Policy Enforcement for Secure Data Analytics
Picachv: Formally Verified Data Use Policy Enforcement for Secure Data Analytics
Haobin Hiroki Chen
Hongbo Chen
Mingshen Sun
Chenghong Wang
Wenyuan Xu
107
0
0
17 Jan 2025
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database
Zhanhao Zhao
Shaofeng Cai
Haotian Gao
Hexiang Pan
Siqi Xiang
...
Gang Chen
Beng Chin Ooi
Yanyan Shen
Yuncheng Wu
Meihui Zhang
89
2
0
06 Aug 2024
Bullion: A Column Store for Machine Learning
Bullion: A Column Store for Machine Learning
Gang Liao
Ye Liu
Jianjun Chen
Daniel J. Abadi
79
5
0
13 Apr 2024
Serving Deep Learning Model in Relational Databases
Serving Deep Learning Model in Relational Databases
Alexandre Eichenberger
Qi Lin
Saif Masood
Hong Min
Alexander Sim
...
Yida Wang
Kesheng Wu
Binhang Yuan
Lixi Zhou
Jia Zou
67
1
0
07 Oct 2023
A Comparison of Decision Forest Inference Platforms from A Database
  Perspective
A Comparison of Decision Forest Inference Platforms from A Database Perspective
Hong Guan
Mahidhar Dwarampudi
Venkatesh Gunda
Hong Min
Lei Yu
Jia Zou
139
3
0
09 Feb 2023
Analytical Engines With Context-Rich Processing: Towards Efficient
  Next-Generation Analytics
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics
Viktor Sanca
Anastasia Ailamaki
118
4
0
14 Dec 2022
The Tensor Data Platform: Towards an AI-centric Database System
The Tensor Data Platform: Towards an AI-centric Database System
Apurva Gandhi
Yuki Asada
Victor Fu
Advitya Gemawat
Lihao Zhang
Rathijit Sen
Carlo Curino
Jesús Camacho-Rodríguez
Matteo Interlandi
69
17
0
04 Nov 2022
On Efficient Approximate Queries over Machine Learning Models
On Efficient Approximate Queries over Machine Learning Models
Dujian Ding
S. Amer-Yahia
L. Lakshmanan
110
6
0
06 Jun 2022
End-to-end Optimization of Machine Learning Prediction Queries
End-to-end Optimization of Machine Learning Prediction Queries
Kwanghyun Park
Karla Saur
Dalitso Banda
Rathijit Sen
Matteo Interlandi
Konstantinos Karanasos
118
46
0
31 May 2022
Query Processing on Tensor Computation Runtimes
Query Processing on Tensor Computation Runtimes
Dong He
Supun Nakandala
Dalitso Banda
Rathijit Sen
Karla Saur
Kwanghyun Park
Carlo Curino
Jesús Camacho-Rodríguez
Konstantinos Karanasos
Matteo Interlandi
178
37
0
03 Mar 2022
Production Machine Learning Pipelines: Empirical Analysis and
  Optimization Opportunities
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities
Doris Xin
Hui Miao
Aditya G. Parameswaran
N. Polyzotis
AI4TS
141
65
0
30 Mar 2021
Functional Collection Programming with Semi-Ring Dictionaries
Functional Collection Programming with Semi-Ring Dictionaries
Amir Shaikhha
Mathieu Huot
Jaclyn Smith
Dan Olteanu
132
43
0
10 Mar 2021
tf.data: A Machine Learning Data Processing Framework
tf.data: A Machine Learning Data Processing Framework
D. Murray
Jiří Šimša
Ana Klimovic
Ihor Indyk
PINNAI4CELMTD
127
91
0
28 Jan 2021
A Tensor Compiler for Unified Machine Learning Prediction Serving
A Tensor Compiler for Unified Machine Learning Prediction Serving
Supun Nakandala Karla Saur
Karla Saur
Gyeong-In Yu
Konstantinos Karanasos
Carlo Curino
Markus Weimer
Matteo Interlandi
104
53
0
09 Oct 2020
The Collection Virtual Machine: An Abstraction for Multi-Frontend
  Multi-Backend Data Analysis
The Collection Virtual Machine: An Abstraction for Multi-Frontend Multi-Backend Data Analysis
Ingo Müller
Renato Marroquín
D. Koutsoukos
Mike Wawrzoniak
Sabir Akhadov
Gustavo Alonso
129
13
0
04 Apr 2020
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC
  Framework
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework
Huafei Zhu
Zengxiang Li
Merivyn Cheah
Rick Siow Mong Goh
FedML
120
11
0
17 Mar 2020
Cloudy with high chance of DBMS: A 10-year prediction for
  Enterprise-Grade ML
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
Ashvin Agrawal
Rony Chatterjee
Carlo Curino
Avrilia Floratou
Neha Godwal
...
Karla Saur
Rathijit Sen
Markus Weimer
Travis Wright
Yiwen Zhu
135
40
0
30 Aug 2019
1