Bandana: Using Non-volatile Memory for Storing Deep Learning Models

Bandana: Using Non-volatile Memory for Storing Deep Learning Models

14 November 2018

Papers citing "Bandana: Using Non-volatile Memory for Storing Deep Learning Models"

8 / 8 papers shown

Title
ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models Yujeong Choi Jiin Kim Minsoo Rhu 39 1 0 11 Jun 2024
MTrainS: Improving DLRM training efficiency using heterogeneous memories H. Kassa Paul Johnson Jason B. Akers Mrinmoy Ghosh Andrew Tulloch Dheevatsa Mudigere Jongsoo Park Xing Liu R. Dreslinski E. K. Ardestani 24 1 0 19 Apr 2023
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation Liu Ke Udit Gupta Mark Hempstead Carole-Jean Wu Hsien-Hsin S. Lee Xuan Zhang 26 21 0 14 Mar 2022
Supporting Massive DLRM Inference Through Software Defined Memory E. K. Ardestani Changkyu Kim Seung Jae Lee Luoshang Pan Valmiki Rampersad ... Krishnakumar Nair Maxim Naumov Christopher Peterson M. Smelyanskiy Vijay Rao BDL 39 20 0 21 Oct 2021
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale Bilge Acun Matthew Murphy Xiaodong Wang Jade Nie Carole-Jean Wu K. Hazelwood 36 109 0 11 Nov 2020
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference Michael Lui Yavuz Yetim Özgür Özkan Zhuoran Zhao Shin-Yeh Tsai Carole-Jean Wu Mark Hempstead GNN BDL LRM 22 51 0 04 Nov 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 59 150 0 12 Mar 2020
The Architectural Implications of Facebook's DNN-based Personalized Recommendation Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen ... Andrey Malevich Dheevatsa Mudigere M. Smelyanskiy Liang Xiong Xuan Zhang GNN 44 290 0 06 Jun 2019