21 citations · 29 across the 2 of their papers we have counts for
3 papers
Accelerating Deep Neural Networks for Real-time Data Selection for High-resolution Imaging Particle Detectors
Yeon-Jae Jwa, Giuseppe Di Guglielmo, Luca P. Carloni +1
This paper presents the custom implementation, optimization, and performance evaluation of convolutional neural networks on field programmable gate arrays, for the purposes of acce…
Fast convolutional neural networks on FPGAs with hls4ml
Thea Aarrestad, Vladimir Loncar, Nicolò Ghielmetti +17
We introduce an automated tool for deploying ultra low-latency, low-power deep neural networks with convolutional layers on FPGAs. By extending the hls4ml library, we demonstrate a…
PAGURUS: Low-Overhead Dynamic Information Flow Tracking on Loosely Coupled Accelerators
Luca Piccolboni, Giuseppe Di Guglielmo, Luca P. Carloni
Software-based attacks exploit bugs or vulnerabilities to get unauthorized access or leak confidential information. Dynamic information flow tracking (DIFT) is a security technique…