7 citations · 8 across the 5 of their papers we have counts for
3 papers · 1 filter
TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning
Avik Bhatnagar, Federico Nicolas Peccia, Oliver Bringmann
The rise of privacy-preserving artificial intelligence (AI) has shifted the focus of model adaptation and personalization towards on-device learning, where deep learning models are…
Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs
Federico Nicolas Peccia, Frederik Haxel, Oliver Bringmann
RISC-V provides a flexible and scalable platform for applications ranging from embedded devices to high-performance computing clusters. Particularly, its RISC-V Vector Extension (R…
Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework
F. N. Peccia, O. Bringmann
The deployment of neural networks on heterogeneous SoCs coupled with custom accelerators is a challenging task because of the lack of end-to-end software tools provided for these s…