PRETZEL: Opening the Black Box of Machine Learning Prediction Serving
Systems

PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems

14 October 2018

Alberto Scolari

M. Santambrogio

Matteo Interlandi

Papers citing "PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems"

11 / 11 papers shown

Title
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning Xupeng Miao Gabriele Oliaro Xinhao Cheng Vineeth Kada Ruohan Gao ... April Yang Yingcheng Wang Mengdi Wu Colin Unger Zhihao Jia MoE 114 10 0 29 Feb 2024
Rafiki: Machine Learning as an Analytics Service System Wei Wang Sheng Wang Jinyang Gao Meihui Zhang Gang Chen Teck Khim Ng Beng Chin Ooi 67 112 0 17 Apr 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions Nicolas Vasilache O. Zinenko Theodoros Theodoridis Priya Goyal Zach DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen 62 432 0 13 Feb 2018
TensorFlow-Serving: Flexible, High-Performance ML Serving Christopher Olston Noah Fiedel Kiril Gorovoy Jeremiah Harmsen Li Lao Fangwei Li Vinu Rajashekhar Sukriti Ramesh Jordan Soyke 48 305 0 17 Dec 2017
DyNet: The Dynamic Neural Network Toolkit Graham Neubig Chris Dyer Yoav Goldberg Austin Matthews Bridger Waleed Ammar ... Yusuke Oda Matthew Richardson Naomi Saphra Swabha Swayamdipta Pengcheng Yin 71 386 0 15 Jan 2017
Clipper: A Low-Latency Online Prediction Serving System D. Crankshaw Xin Wang Giulio Zhou Michael Franklin Joseph E. Gonzalez Ion Stoica 50 673 0 09 Dec 2016
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 177 6,170 0 15 Sep 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 95 2,048 0 04 Feb 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 120 2,243 0 03 Dec 2015
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 112 1,031 0 10 Sep 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 137 2,272 0 28 Jun 2011