Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs
Author:
Affiliation:
1. Intel, San Jose, CA, USA
2. Intel, Hillsboro, OR, USA
3. University of Massachusetts Lowell, Lowell, MA, USA
Publisher
ACM
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Reticle: a virtual machine for programming modern FPGAs;Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation;2021-06-18
2. Fast Optimisation of Convolutional Neural Network Inference using System Performance Models;Proceedings of the 1st Workshop on Machine Learning and Systems;2021-04-26
3. Tulipp and ClickCV: How the Future Demands of Computer Vision Can Be Met Using FPGAs;Towards Ubiquitous Low-power Image Processing Platforms;2020-12-16
4. Deep Neural Network Approximation for Custom Hardware;ACM Computing Surveys;2020-03-31
5. Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks;Proceedings of the Conference for Next Generation Arithmetic 2019;2019-03-13
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