Title
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 27 40 0 25 Oct 2020
Mixed-Precision Embedding Using a Cache J. Yang Jianyu Huang Jongsoo Park P. T. P. Tang Andrew Tulloch 27 36 0 21 Oct 2020
Time-based Sequence Model for Personalization and Recommendation Systems T. Ishkhanov Maxim Naumov Xianjie Chen Yan Zhu Yuan Zhong A. Azzolini Chonglin Sun Frank Jiang Andrey Malevich Liang Xiong 30 16 0 27 Aug 2020
Tearing Down the Memory Wall Zaid Qureshi Vikram Sharma Mailthody S. Min I-Hsin Chung Jinjun Xiong Wen-mei W. Hwu GNN 28 9 0 24 Aug 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 59 82 0 02 Jul 2020
Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms Saeed Rashidi Matthew Denton Srinivas Sridharan Sudarshan Srinivasan Amoghavarsha Suresh Jade Nie T. Krishna 28 45 0 30 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 18 53 0 14 Jun 2020
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning Z. Yao A. Gholami Sheng Shen Mustafa Mustafa Kurt Keutzer Michael W. Mahoney ODL 39 275 0 01 Jun 2020
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures Dhiraj D. Kalamkar E. Georganas Sudarshan Srinivasan Jianping Chen Mikhail Shiryaev A. Heinecke 53 47 0 10 May 2020
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline Luca Belli S. Ktena Alykhan Tejani A. Lung-Yut-Fong Frank Portman ... Gabriele Sottocornola Walter Anelli N. Andrade Jessie J. Smith Wenzhe Shi AI4TS 18 10 0 28 Apr 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 40 32 0 19 Feb 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 36 188 0 08 Jan 2020
MLPerf Inference Benchmark Vijayarāghava Reḍḍī C. Cheng David Kanter Pete H Mattson Guenther Schmuelling ... Bing Yu George Y. Yuan Aaron Zhong P. Zhang Yuchen Zhou 31 487 0 06 Nov 2019
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 19 32 0 05 Nov 2019
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations Konstantinos Kanellopoulos Nandita Vijaykumar Christina Giannoula Roknoddin Azizi Skanda Koppula Nika Mansouri-Ghiasi Taha Shahroodi Juan Gómez Luna O. Mutlu 21 79 0 23 Oct 2019
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 35 305 0 02 Oct 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 44 290 0 06 Jun 2019