Vin Sharma

According to our database, Vin Sharma authored at least 5 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Bring Your Own Codegen to Deep Learning Compiler.

Zhi Chen, Cody Hao Yu, Trevor Morris, Jorn Tuyls, Yi-Hsiang Lai, Jared Roesch, Elliott Delaye, Vin Sharma, Yida Wang

CoRR, 2021

Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks.

Yao Wang, Xingyu Zhou, Yanming Wang, Rui Li, Yong Wu, Vin Sharma

CoRR, 2021

Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference.

Haichen Shen, Jared Roesch, Zhi Chen, Wei Chen, Yong Wu, Mu Li, Vin Sharma, Zachary Tatlock, Yida Wang

Proceedings of Machine Learning and Systems 2021, 2021

2020

Efficient Execution of Quantized Deep Learning Models: A Compiler Approach.

Animesh Jain, Shoubhik Bhattacharya, Masahiro Masuda, Vin Sharma, Yida Wang

CoRR, 2020

2019

Optimizing CNN Model Inference on CPUs.

Yizhi Liu, Yao Wang, Ruofei Yu, Mu Li, Vin Sharma, Yida Wang

Proceedings of the 2019 USENIX Annual Technical Conference, 2019