Výsledky vyhledávání

Accelerating Graph Processing With Lightweight Learning-Based Data Reordering

Autor: Mo Zou, Mingzhe Zhang, Rujia Wang, Xian-He Sun, Xiaochun Ye, Dongrui Fan, Zhimin Tang

Publikováno v: IEEE Computer Architecture Letters. 21:5-8

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::73ad3f420b4a943d4f51d61fc71fac6c
https://doi.org/10.1109/lca.2022.3151087

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Characterizing and Understanding HGNNs on GPUs

Autor: Mingyu Yan, Mo Zou, Xiaocheng Yang, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie

Heterogeneous graph neural networks (HGNNs) deliver powerful capacity in heterogeneous graph representation learning. The execution of HGNNs is usually accelerated by GPUs. Therefore, characterizing and understanding the execution pattern of HGNNs on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::044bb1e889728b4dce11aaf350495a0a
http://arxiv.org/abs/2208.04758

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Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration

Autor: Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie

Previous graph analytics accelerators have achieved great improvement on throughput by alleviating irregular off-chip memory accesses. However, on-chip side datapath conflicts and design centralization have become the critical issues hindering furthe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6681fdae8d29ad02e304823ed6b25162
http://arxiv.org/abs/2202.11343

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Characterizing and Understanding Distributed GNN Training on GPUs

Autor: Haiyang Lin, Mingyu Yan, Xiaocheng Yang, Mo Zou, Wenming Li, Xiaochun Ye, Dongrui Fan

Graph neural network (GNN) has been demonstrated to be a powerful model in many domains for its effectiveness in learning over graphs. To scale GNN training for large graphs, a widely adopted approach is distributed training which accelerates trainin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2708e48149a7c625f8b12ea87270eff4

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Preparation of SiO2@EVA core–shell particles via post-emulsification method with polydisperse SiO2 particle sizes and the critical thickness-to-diameter ratio in PA6/SiO2@EVA system

Autor: Mo Zou, Jingzhi Chen, Zhaoyang Wei, Weiwei Lei, Jun You, Jie Liu, Qunchao Zhang, Dean Shi

Publikováno v: Applied Surface Science. 614:156051

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ed7f463c363332669814ec6eaada65a5
https://doi.org/10.1016/j.apsusc.2022.156051

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Using concurrent relational logic with helpers for verifying the AtomFS file system

Autor: Ronghui Gu, Dong Du, Haibo Chen, Haoran Ding, Mo Zou, Ming Fu

Publikováno v: SOSP

Concurrent file systems are pervasive but hard to correctly implement and formally verify due to nondeterministic interleavings. This paper presents AtomFS, the first formally-verified, fine-grained, concurrent file system, which provides linearizabl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::20b19d965220e93519486e211f7f5da8
https://doi.org/10.1145/3341301.3359644

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