RecSSD: Near Data Processing for Solid State Drive Based Recommendation
Inference

RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference

29 January 2021

Caroline Trippel

David Brooks

Papers citing "RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference"

14 / 14 papers shown

Title
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models Wenqi Jiang Marco Zeller R. Waleffe Torsten Hoefler Gustavo Alonso 95 15 0 15 Oct 2023
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 50 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 103 151 0 12 Mar 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference Udit Gupta Samuel Hsia V. Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu GNN 65 189 0 08 Jan 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 56 217 0 30 Dec 2019
NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units Bongjoon Hyun Youngeun Kwon Yujeong Choi John Kim Minsoo Rhu 31 28 0 15 Nov 2019
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning Youngeun Kwon Yunjae Lee Minsoo Rhu 49 210 0 08 Aug 2019
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 73 290 0 06 Jun 2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman ... Wenlin Chen Vijay Rao Bill Jia Liang Xiong M. Smelyanskiy 88 733 0 31 May 2019
Basic Performance Measurements of the Intel Optane DC Persistent Memory Module Joseph Izraelevitz Jian Yang Lu Zhang Juno Kim Xiao Liu ... Zixuan Wang Yi Xu Subramanya R. Dulloor Jishen Zhao Steven Swanson 37 485 0 13 Mar 2019
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 60 187 0 24 Nov 2018
Bandana: Using Non-volatile Memory for Storing Deep Learning Models Assaf Eisenman Maxim Naumov Darryl Gardner M. Smelyanskiy S. Pupyrev K. Hazelwood Asaf Cidon Sachin Katti 48 81 0 14 Nov 2018
Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai 84 1,062 0 11 Sep 2018
Deep Interest Network for Click-Through Rate Prediction Guorui Zhou Cheng-Ning Song Xiaoqiang Zhu Xi-Wang Dai Ziru Xu Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai 70 1,820 0 21 Jun 2017