Optimising Resource Management for Embedded Machine Learning

1 code implementation • 8 May 2021 • Lei Xun, Long Tran-Thanh, Bashir M Al-Hashimi, Geoff V. Merrett

Machine learning inference is increasingly being executed locally on mobile and embedded platforms, due to the clear advantages in latency, privacy and connectivity.

BIG-bench Machine Learning Management

Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms

no code implementations • 8 May 2021 • Lei Xun, Long Tran-Thanh, Bashir M Al-Hashimi, Geoff V. Merrett

Compared to the existing works, our approach can provide up to 2. 36x (energy) and 2. 73x (time) wider dynamic range with a 2. 4x smaller memory footprint at the same compression rate.