DisaggRec: Architecting Disaggregated Systems for Large-Scale
Personalized Recommendation

DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation

2 December 2022

Benjamin C. Lee

Hsien-Hsin S. Lee

Papers citing "DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation"

18 / 18 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 92 15 0 15 Oct 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 41 21 0 14 Mar 2022
Clio: A Hardware-Software Co-Designed Disaggregated Memory System Zhiyuan Guo Yizhou Shan Xuhao Luo Yutong Huang Yiying Zhang GNN 68 131 0 07 Aug 2021
MIND: In-Network Memory Management for Disaggregated Data Centers Seung-seob Lee Yanpeng Yu Yupeng Tang Anurag Khandelwal Lin Zhong A. Bhattacharjee 34 88 0 01 Jul 2021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models Dheevatsa Mudigere Y. Hao Jianyu Huang Zhihao Jia Andrew Tulloch ... Ajit Mathews Lin Qiao M. Smelyanskiy Bill Jia Vijay Rao 75 152 0 12 Apr 2021
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
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training Youngeun Kwon Yunjae Lee Minsoo Rhu 50 40 0 25 Oct 2020
Cross-Stack Workload Characterization of Deep Recommendation Systems Samuel Hsia Udit Gupta Mark Wilkening Carole-Jean Wu Gu-Yeon Wei David Brooks BDL GNN HAI 112 32 0 10 Oct 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 60 189 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
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning Youngeun Kwon Yunjae Lee Minsoo Rhu 47 210 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
Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning Youngeun Kwon Minsoo Rhu 46 57 0 18 Feb 2019
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
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 233 4,632 0 16 Apr 2017
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 174 3,659 0 24 Jun 2016