3 papers
cs.CV2024
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI
Brendan Reidy, Sepehr Tabrizchi, Mohamadreza Mohammadi +3
With the rise of tiny IoT devices powered by machine learning (ML), many researchers have directed their focus toward compressing models to fit on tiny edge devices. Recent works h…
cs.AR2024
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing
Mehrdad Morsali, Brendan Reidy, Deniz Najafi +6
This paper proposes a high-performance and energy-efficient optical near-sensor accelerator for vision applications, called Lightator. Harnessing the promising efficiency offered b…
cs.AR2023
Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units
Mohammed E. Elbtity, Brendan Reidy, Md Hasibul Amin +1
Tensor processing units (TPUs), specialized hardware accelerators for machine learning tasks, have shown significant performance improvements when executing convolutional layers in…