Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training

25 October 2020

Papers citing "Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training"

18 / 18 papers shown

Title
SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models Jinho Yang Ji-Hoon Kim Joo-Young Kim 39 0 0 01 Apr 2025
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models Yunjae Lee Hyeseong Kim Minsoo Rhu 34 3 0 11 Jun 2024
ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models Yujeong Choi Jiin Kim Minsoo Rhu 32 1 0 11 Jun 2024
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models Juntaek Lim Youngeun Kwon Ranggi Hwang Kiwan Maeng Edward Suh Minsoo Rhu SyDa 31 0 0 12 Apr 2024
Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations Yujeong Choi John Kim Minsoo Rhu 13 1 0 23 Feb 2023
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation Samuel Hsia Udit Gupta Bilge Acun Newsha Ardalani Pan Zhong Gu-Yeon Wei David Brooks Carole-Jean Wu 33 17 0 21 Feb 2023
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation Liu Ke Xuan Zhang Benjamin C. Lee G. E. Suh Hsien-Hsin S. Lee 39 8 0 02 Dec 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 35 46 0 21 Sep 2022
DiVa: An Accelerator for Differentially Private Machine Learning Beom-Joo Park Ranggi Hwang Dongho Yoon Yoonhyuk Choi Minsoo Rhu 6 8 0 26 Aug 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures Yunjae Lee Jin-Won Chung Minsoo Rhu GNN 27 48 0 10 May 2022
Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards Youngeun Kwon Minsoo Rhu 16 27 0 10 May 2022
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 19 21 0 14 Mar 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 11 20 0 01 Mar 2022
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance Udit Gupta Samuel Hsia J. Zhang Mark Wilkening Javin Pombra Hsien-Hsin S. Lee Gu-Yeon Wei Carole-Jean Wu David Brooks 30 32 0 18 May 2021
Accelerating Recommendation System Training by Leveraging Popular Choices Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 10 55 0 01 Mar 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 16 51 0 04 Nov 2020
LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference Yujeong Choi Yunseong Kim Minsoo Rhu 19 66 0 25 Oct 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 41 212 0 30 Dec 2019