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Vin Sharma
Publication Activity (10 Years)
Years Active: 2018-2021
Publications (10 Years): 7
Top Topics
Static Analysis
Learning Models
Deep Learning
Query Processor
Top Venues
CoRR
USENIX Annual Technical Conference
MLSys
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Publications
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Zhi Chen
,
Cody Hao Yu
,
Trevor Morris
,
Jorn Tuyls
,
Yi-Hsiang Lai
,
Jared Roesch
,
Elliott Delaye
,
Vin Sharma
,
Yida Wang
Bring Your Own Codegen to Deep Learning Compiler.
CoRR
(2021)
Haichen Shen
,
Jared Roesch
,
Zhi Chen
,
Wei Chen
,
Yong Wu
,
Mu Li
,
Vin Sharma
,
Zachary Tatlock
,
Yida Wang
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference.
MLSys
(2021)
Yao Wang
,
Xingyu Zhou
,
Yanming Wang
,
Rui Li
,
Yong Wu
,
Vin Sharma
Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks.
CoRR
(2021)
Haichen Shen
,
Jared Roesch
,
Zhi Chen
,
Wei Chen
,
Yong Wu
,
Mu Li
,
Vin Sharma
,
Zachary Tatlock
,
Yida Wang
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference.
CoRR
(2020)
Animesh Jain
,
Shoubhik Bhattacharya
,
Masahiro Masuda
,
Vin Sharma
,
Yida Wang
Efficient Execution of Quantized Deep Learning Models: A Compiler Approach.
CoRR
(2020)
Yizhi Liu
,
Yao Wang
,
Ruofei Yu
,
Mu Li
,
Vin Sharma
,
Yida Wang
Optimizing CNN Model Inference on CPUs.
USENIX Annual Technical Conference
(2019)
Yizhi Liu
,
Yao Wang
,
Ruofei Yu
,
Mu Li
,
Vin Sharma
,
Yida Wang
Optimizing CNN Model Inference on CPUs.
CoRR
(2018)