Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning

25 April 2019

Papers citing "Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning"

7 / 7 papers shown

Title
AMULET: Adaptive Matrix-Multiplication-Like Tasks Junyoung Kim Kenneth Ross Eric Sedlar Lukas Stadler 13 1 0 12 May 2023
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 19 35 0 03 Mar 2022
BAGUA: Scaling up Distributed Learning with System Relaxations Shaoduo Gan Xiangru Lian Rui Wang Jianbin Chang Chengjun Liu ... Jiawei Jiang Binhang Yuan Sen Yang Ji Liu Ce Zhang 23 30 0 03 Jul 2021
GeCo: Quality Counterfactual Explanations in Real Time Maximilian Schleich Zixuan Geng Yihong Zhang D. Suciu 46 61 0 05 Jan 2021
Complaint-driven Training Data Debugging for Query 2.0 Weiyuan Wu Lampros Flokas Eugene Wu Jiannan Wang 32 43 0 12 Apr 2020
Extending Relational Query Processing with ML Inference Konstantinos Karanasos Matteo Interlandi Doris Xin Fotis Psallidas Rathijit Sen ... Subru Krishnan Markus Weimer Yuan Yu R. Ramakrishnan Carlo Curino 8 61 0 01 Nov 2019
SafeSpec: Banishing the Spectre of a Meltdown with Leakage-Free Speculation Khaled N. Khasawneh Esmaeil Mohammadian Koruyeh Chengyu Song Dmitry Evtyushkin D. Ponomarev Nael B. Abu-Ghazaleh 26 183 0 13 Jun 2018