Andre Xian Ming Chang

According to our database1, Andre Xian Ming Chang authored at least 10 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array.
CoRR, 2022

2020
Deep neural networks compiler for a trace-based accelerator.
J. Syst. Archit., 2020

2018
Deep neural networks compiler for a trace-based accelerator (short WIP paper).
Proceedings of the 19th ACM SIGPLAN/SIGBED International Conference on Languages, 2018

A High Efficiency Accelerator for Deep Neural Networks.
Proceedings of the 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2018

Efficient Compiler Code Generation for Deep Learning Snowflake Co-Processor.
Proceedings of the 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2018

2017
Snowflake: A Model Agnostic Accelerator for Deep Convolutional Neural Networks.
CoRR, 2017

Compiling Deep Learning Models for Custom Hardware Accelerators.
CoRR, 2017

Snowflake: An efficient hardware accelerator for convolutional neural networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Hardware accelerators for recurrent neural networks on FPGA.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2015
Recurrent Neural Networks Hardware Implementation on FPGA.
CoRR, 2015


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