DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference

8 January 2020

David Brooks

Papers citing "DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference"

25 / 75 papers shown

Title
Differentiable NAS Framework and Application to Ads CTR Prediction Ravi Krishna Aravind Kalaiah Bichen Wu Maxim Naumov Dheevatsa Mudigere M. Smelyanskiy Kurt Keutzer 25 8 0 25 Oct 2021
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training Mark Zhao Niket Agarwal Aarti Basant B. Gedik Satadru Pan ... Kevin Wilfong Harsha Rastogi Carole-Jean Wu Christos Kozyrakis Parikshit Pol GNN 31 70 0 20 Aug 2021
Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud Jashwant Raj Gunasekaran Cyan Subhra Mishra P. Thinakaran M. Kandemir Chita R. Das 8 3 0 09 Jun 2021
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale Zhaoxia Deng Deng Jongsoo Park P. T. P. Tang Haixin Liu ... S. Nadathur Changkyu Kim Maxim Naumov S. Naghshineh M. Smelyanskiy 26 11 0 26 May 2021
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 41 32 0 18 May 2021
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems Xiaocong Du Bhargav Bhushanam Jiecao Yu Dhruv Choudhary Tianxiang Gao Sherman Wong Louis Feng Jongsoo Park Yu Cao A. Kejariwal 31 5 0 04 May 2021
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores Sheng-Chun Kao T. Krishna 22 49 0 28 Apr 2021
Faa $T: A Transparent Auto-Scaling Cache for Serverless Applications$ Francisco Romero G. Chaudhry Íñigo Goiri Pragna Gopa Paul Batum N. Yadwadkar Rodrigo Fonseca Christos Kozyrakis Ricardo Bianchini 60 111 0 28 Apr 2021
Demystifying BERT: Implications for Accelerator Design Suchita Pati Shaizeen Aga Nuwan Jayasena Matthew D. Sinclair LLMAG 38 17 0 14 Apr 2021
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding Kaige Liu J. Kosaian K. V. Rashmi 27 4 0 05 Apr 2021
On Estimating Recommendation Evaluation Metrics under Sampling R. Jin Dong Li Benjamin Mudrak Jing Gao Zhi Liu 13 14 0 02 Mar 2021
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference Mark Wilkening Udit Gupta Samuel Hsia Caroline Trippel Carole-Jean Wu David Brooks Gu-Yeon Wei 14 114 0 29 Jan 2021
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models Chunxing Yin Bilge Acun Xing Liu Carole-Jean Wu 47 102 0 25 Jan 2021
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 43 377 0 17 Dec 2020
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale Bilge Acun Matthew Murphy Xiaodong Wang Jade Nie Carole-Jean Wu K. Hazelwood 28 109 0 11 Nov 2020
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery Kiwan Maeng Shivam Bharuka Isabel Gao M. C. Jeffrey V. Saraph ... Caroline Trippel Jiyan Yang Michael G. Rabbat Brandon Lucia Carole-Jean Wu OffRL 24 31 0 05 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
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training Youngeun Kwon Yunjae Lee Minsoo Rhu 24 39 0 25 Oct 2020
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions Wenqi Jiang Zhen He Shuai Zhang Thomas B. Preußer Kai Zeng ... Tongxuan Liu Yong Li Jingren Zhou Ce Zhang Gustavo Alonso 39 7 0 12 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 25 32 0 10 Oct 2020
Accelerating Recommender Systems via Hardware "scale-in" S. Krishna Ravi Krishna GNN LRM 21 6 0 11 Sep 2020
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations Ranggi Hwang Taehun Kim Youngeun Kwon Minsoo Rhu 18 103 0 12 May 2020
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures Dhiraj D. Kalamkar E. Georganas Sudarshan Srinivasan Jianping Chen Mikhail Shiryaev A. Heinecke 50 47 0 10 May 2020
INFaaS: A Model-less and Managed Inference Serving System Francisco Romero Qian Li N. Yadwadkar Christos Kozyrakis 28 14 0 30 May 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016