SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage
Processing Architectures

SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures

10 May 2022

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Papers citing "SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures"

19 / 19 papers shown

Title
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 58 114 0 29 Jan 2021
Marius: Learning Massive Graph Embeddings on a Single Machine J. Mohoney R. Waleffe Yiheng Xu Theodoros Rekatsinas Shivaram Venkataraman GNN 97 62 0 20 Jan 2021
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training Youngeun Kwon Yunjae Lee Minsoo Rhu 53 40 0 25 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis FedML GNN 59 248 0 11 Oct 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs Yuke Wang Boyuan Feng Gushu Li Shuangchen Li Lei Deng Yuan Xie Yufei Ding GNN 89 123 0 11 Jun 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 89 292 0 07 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms Hanqing Zeng Viktor Prasanna GNN 64 128 0 31 Dec 2019
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 61 217 0 30 Dec 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Shengwen Liang Ying Wang Cheng Liu Lei He Huawei Li Xiaowei Li GNN 56 134 0 31 Aug 2019
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning Youngeun Kwon Yunjae Lee Minsoo Rhu 58 210 0 08 Aug 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 137 966 0 10 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 226 4,341 0 06 Mar 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 102 388 0 23 Feb 2019
Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning Youngeun Kwon Minsoo Rhu 51 57 0 18 Feb 2019
Scalable Realistic Recommendation Datasets through Fractal Expansions Francois Belletti K. Lakshmanan Walid Krichene Yi-Fan Chen John R. Anderson 71 19 0 23 Jan 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 263 3,540 0 06 Jun 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,247 0 07 Jun 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 59 177 0 03 May 2017
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 223 3,352 0 30 Sep 2015