Developing a Recommendation Benchmark for MLPerf Training and Inference

Developing a Recommendation Benchmark for MLPerf Training and Inference

16 March 2020

Papers citing "Developing a Recommendation Benchmark for MLPerf Training and Inference"

8 / 8 papers shown

Title
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference Yejin Lee Anna Y. Sun Basil Hosmer Bilge Acun Can Balioglu ... Ram Pasunuru Scott Yih Sravya Popuri Xing Liu Carole-Jean Wu 52 2 0 30 Sep 2024
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 33 28 0 03 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 39 31 0 30 May 2022
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 28 70 0 20 Aug 2021
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale Bilge Acun Matthew Murphy Xiaodong Wang Jade Nie Carole-Jean Wu K. Hazelwood 25 109 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 21 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
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 30 188 0 08 Jan 2020