| Keywords
|
Real-time, Machine learning, Hardware Design, Dataflow +
|
| Level
|
Master +
|
| OneLineSummary
|
In this project, it is required to build a tool to generate a dataflow model and construct architectures for such algorithms, while minimizing latency or meeting a specific deadline under area and power constraints. +
|
| Prerequisites
|
Contact :
Yousra Alkabani and Hazem Ali +
|
| References
|
Subbaraj, H., 2020. Using Dataflow for Machine Learning Inference.
Anderson, J., Alkabani, Y. and El-Ghazawi, T., 2019. Towards Energy-Quality Scaling in Deep Neural Networks. IEEE Design & Test.
|
| StudentProjectStatus
|
Open +
|
| Supervisors
|
Yousra Alkabani +
, Hazem Ali +
|
| TimeFrame
|
December 2020, May 2021 +
|
| Title
|
Automatic Generation of Realtime Machine Learning Architectures +
|
| Categories |
StudentProject +
|
| Modification dateThis property is a special property in this wiki.
|
8 October 2020 16:14:16 +
|
