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Donglin Zhuang
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 12
Top Topics
Dirichlet Process Mixture Models
Neural Network Training
Pitman Yor Process
Highly Efficient
Top Venues
CoRR
ICS
Proc. VLDB Endow.
IEEE Trans. Computers
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Publications
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Haojun Xia
,
Zhen Zheng
,
Xiaoxia Wu
,
Shiyang Chen
,
Zhewei Yao
,
Stephen Youn
,
Arash Bakhtiari
,
Michael Wyatt
,
Donglin Zhuang
,
Zhongzhu Zhou
,
Olatunji Ruwase
,
Yuxiong He
,
Shuaiwen Leon Song
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design.
CoRR
(2024)
Haojun Xia
,
Zhen Zheng
,
Yuchao Li
,
Donglin Zhuang
,
Zhongzhu Zhou
,
Xiafei Qiu
,
Yong Li
,
Wei Lin
,
Shuaiwen Leon Song
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity.
CoRR
(2023)
Haojun Xia
,
Zhen Zheng
,
Yuchao Li
,
Donglin Zhuang
,
Zhongzhu Zhou
,
Xiafei Qiu
,
Yong Li
,
Wei Lin
,
Shuaiwen Leon Song
Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity.
Proc. VLDB Endow.
17 (2) (2023)
Donglin Zhuang
,
Xingyao Zhang
,
Shuaiwen Song
,
Sara Hooker
Randomness in Neural Network Training: Characterizing the Impact of Tooling.
MLSys
(2022)
Heng Zhang
,
Lingda Li
,
Hang Liu
,
Donglin Zhuang
,
Rui Liu
,
Chengying Huan
,
Shuang Song
,
Dingwen Tao
,
Yongchao Liu
,
Charles He
,
Yanjun Wu
,
Shuaiwen Leon Song
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.
ICS
(2022)
Yiding Liu
,
Xingyao Zhang
,
Donglin Zhuang
,
Xin Fu
,
Shuaiwen Song
DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor.
ACM Trans. Archit. Code Optim.
19 (4) (2022)
Xingyao Zhang
,
Haojun Xia
,
Donglin Zhuang
,
Hao Sun
,
Xin Fu
,
Michael B. Taylor
,
Shuaiwen Leon Song
η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities.
ISCA
(2021)
Chengming Zhang
,
Geng Yuan
,
Wei Niu
,
Jiannan Tian
,
Sian Jin
,
Donglin Zhuang
,
Zhe Jiang
,
Yanzhi Wang
,
Bin Ren
,
Shuaiwen Leon Song
,
Dingwen Tao
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
ICS
(2021)
Donglin Zhuang
,
Xingyao Zhang
,
Shuaiwen Leon Song
,
Sara Hooker
Randomness In Neural Network Training: Characterizing The Impact of Tooling.
CoRR
(2021)
Heng Zhang
,
Lingda Li
,
Donglin Zhuang
,
Rui Liu
,
Shuang Song
,
Dingwen Tao
,
Yanjun Wu
,
Shuaiwen Leon Song
An efficient uncertain graph processing framework for heterogeneous architectures.
PPoPP
(2021)
Xingyao Zhang
,
Xin Fu
,
Donglin Zhuang
,
Chenhao Xie
,
Shuaiwen Leon Song
Enabling Highly Efficient Capsule Networks Processing Through Software-Hardware Co-Design.
IEEE Trans. Computers
70 (4) (2021)
Chengming Zhang
,
Geng Yuan
,
Wei Niu
,
Jiannan Tian
,
Sian Jin
,
Donglin Zhuang
,
Zhe Jiang
,
Yanzhi Wang
,
Bin Ren
,
Shuaiwen Leon Song
,
Dingwen Tao
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR
(2020)