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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
Yunjae Lee
Jin-Won Chung
Minsoo Rhu
    GNN
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Papers citing "SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures"

11 / 11 papers shown
Title
Graph-Powered Defense: Controller Area Network Intrusion Detection for
  Unmanned Aerial Vehicles
Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles
Reek Majumder
G. Comert
David Werth
Adrian Gale
M. Chowdhury
M. Salek
70
0
0
03 Dec 2024
InstInfer: In-Storage Attention Offloading for Cost-Effective
  Long-Context LLM Inference
InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference
Xiurui Pan
Endian Li
Qiao Li
Shengwen Liang
Yizhou Shan
Ke Zhou
Yingwei Luo
Xiaolin Wang
Jie Zhang
33
10
0
08 Sep 2024
MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic
  Analysis with In-Storage Processing
MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing
Nika Mansouri-Ghiasi
Mohammad Sadrosadati
Harun Mustafa
Arvid Gollwitzer
Can Firtina
...
Joel Lindegger
Meryem Banu Cavlak
M. Alser
Jisung Park
Onur Mutlu
29
6
0
27 Jun 2024
Reducing Memory Contention and I/O Congestion for Disk-based GNN
  Training
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training
Qisheng Jiang
Lei Jia
Chundong Wang
GNN
21
1
0
20 Jun 2024
PreSto: An In-Storage Data Preprocessing System for Training
  Recommendation Models
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models
Yunjae Lee
Hyeseong Kim
Minsoo Rhu
29
3
0
11 Jun 2024
Smart-Infinity: Fast Large Language Model Training using Near-Storage
  Processing on a Real System
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
Hongsun Jang
Jaeyong Song
Jaewon Jung
Jaeyoung Park
Youngsok Kim
Jinho Lee
21
11
0
11 Mar 2024
Distributed Graph Embedding with Information-Oriented Random Walks
Distributed Graph Embedding with Information-Oriented Random Walks
Peng Fang
Arijit Khan
Siqiang Luo
Fang Wang
Dan Feng
Zhenli Li
Wei Yin
Yu Cao
GNN
13
11
0
28 Mar 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size
  of Public Graph Datasets for Deep Learning Research
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua
Vikram Sharma Mailthody
Bhagyashree Taleka
Tengfei Ma
Xiang Song
Wen-mei W. Hwu
AI4CE
27
37
0
27 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani
Jia Wu
Amin Beheshti
Quan.Z Sheng
Jin Foo
Venus Haghighi
Ambreen Hanif
Maryam Shahabikargar
GNN
AI4TS
32
5
0
13 Feb 2023
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for
  Memory-Efficient Graph Convolutional Neural Networks
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks
Ranggi Hwang
M. Kang
Jiwon Lee
D. Kam
Youngjoo Lee
Minsoo Rhu
GNN
9
20
0
01 Mar 2022
RecNMP: Accelerating Personalized Recommendation with Near-Memory
  Processing
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
36
212
0
30 Dec 2019
1