Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for
Personalized Recommendations

Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations

12 May 2020

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Papers citing "Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations"

14 / 14 papers shown

Title
REED: Chiplet-Based Accelerator for Fully Homomorphic Encryption Aikata Aikata A. Mert Sunmin Kwon M. Deryabin S. Roy 139 2 0 05 Aug 2023
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 73 189 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 66 222 0 30 Dec 2019
NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units Bongjoon Hyun Youngeun Kwon Yujeong Choi John Kim Minsoo Rhu 44 29 0 15 Nov 2019
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units Yujeong Choi Minsoo Rhu 53 132 0 06 Sep 2019
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning Youngeun Kwon Yunjae Lee Minsoo Rhu 64 213 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 79 291 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 91 738 0 31 May 2019
Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning Youngeun Kwon Minsoo Rhu 56 58 0 18 Feb 2019
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 76 188 0 24 Nov 2018
Restructuring Batch Normalization to Accelerate CNN Training Wonkyung Jung Daejin Jung and Byeongho Kim Sunjung Lee Wonjong Rhee Jung Ho Ahn 45 63 0 04 Jul 2018
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba Jizhe Wang Pipei Huang Huan Zhao Zhibo Zhang Binqiang Zhao Lee 59 500 0 06 Mar 2018
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 65 178 0 03 May 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 237 4,644 0 16 Apr 2017