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2011.06391
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FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks
7 November 2020
Md. Khaledur Rahman
Majedul Haque Sujon
A. Azad
FedML
GNN
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Papers citing
"FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"
26 / 26 papers shown
AutoSAGE: Input-Aware CUDA Scheduling for Sparse GNN Aggregation (SpMM/SDDMM) and CSR Attention
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FuseFlow: A Fusion-Centric Compilation Framework for Sparse Deep Learning on Streaming Dataflow
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Olivia Hsu
196
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06 Nov 2025
Fused3S: Fast Sparse Attention on Tensor Cores
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Zitong Li
Aparna Chandramowlishwaran
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231
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12 May 2025
Ember: A Compiler for Efficient Embedding Operations on Decoupled Access-Execute Architectures
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Olivia Hsu
Victor Soria-Pardos
Joshua Randall
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...
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341
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14 Apr 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
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Shengyuan Ye
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546
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08 Jan 2025
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
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Lequn Chen
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Baris Kasikci
Vinod Grover
Arvind Krishnamurthy
Luis Ceze
686
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02 Jan 2025
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
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Jiahui Liu
Zhenkun Cai
Zhiyong Chen
Minjie Wang
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307
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Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2024
Isuru Ranawaka
Md Taufique Hussain
Charles Block
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Josep Torrellas
Ariful Azad
242
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21 Aug 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
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442
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03 Apr 2024
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations
Md Saidul Hoque Anik
Pranav Badhe
Rohit Gampa
Ariful Azad
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237
5
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21 Mar 2024
JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication
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Qiang Fu
Thomas B. Rolinger
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297
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Performance Optimization of Deep Learning Sparse Matrix Kernels on Intel Max Series GPU
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Christoph Bauinger
286
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SENSEi: Input-Sensitive Compilation for Accelerating GNNs
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Vimarsh Sathia
Gerasimos Gerogiannis
Serif Yesil
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Charith Mendis
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218
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27 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
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Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
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314
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24 Jun 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs
International Conference on Supercomputing (ICS), 2023
Jou-An Chen
Hsin-Hsuan Sung
Xipeng Shen
Sutanay Choudhury
Ang Li
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376
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04 May 2023
PhysGraph: Physics-Based Integration Using Graph Neural Networks
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E.T Larionov
Zohar Barzelay
Philipp Herholz
Tuur Stuyck
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247
6
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27 Jan 2023
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Kun Wu
Mert Hidayetoğlu
Xiang Song
Sitao Huang
Da Zheng
Israt Nisa
Wen-mei W. Hwu
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300
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Scalable Graph Convolutional Network Training on Distributed-Memory Systems
Proceedings of the VLDB Endowment (PVLDB), 2022
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Aparajita Haldar
Hakan Ferhatosmanoglu
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393
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Architectural Implications of Embedding Dimension during GCN on CPU and GPU
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David Brooks
Gu-Yeon Wei
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110
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01 Dec 2022
Distributed Graph Neural Network Training: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Tengjiao Wang
Lei Chen
GNN
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465
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01 Nov 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
International Conference on Machine Learning (ICML), 2022
Zirui Liu
Sheng-Wei Chen
Kaixiong Zhou
Daochen Zha
Xiao Huang
Helen Zhou
353
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19 Oct 2022
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
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Zihao Ye
Ruihang Lai
Junru Shao
Tianqi Chen
Luis Ceze
545
128
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11 Jul 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Maciej Besta
Torsten Hoefler
GNN
580
81
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19 May 2022
Distributed-Memory Sparse Kernels for Machine Learning
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022
V. Bharadwaj
A. Buluç
J. Demmel
FedML
203
15
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15 Mar 2022
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
Md. Khaledur Rahman
A. Azad
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200
4
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Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels
Tim Baer
Raghavendra Kanakagiri
Edgar Solomonik
268
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10 Oct 2021
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