SecureComm: A Secure Data Transfer Framework for Neural Network Inference on CPU-FPGA Heterogeneous Edge Devices
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2024.3491169
Abstract: With the increasing popularity of heterogeneous computing systems in Artificial Intelligence (AI) applications, ensuring the confidentiality and integrity of sensitive data transferred between different elements has become a critical challenge. In this paper, we propose… read more here.
Keywords: fpga heterogeneous; framework; cpu; data transfer ... See more keywords
Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3093398
Abstract: Deep neural network (DNN)-based video analysis has become one of the most essential and challenging tasks to capture implicit information from video streams. Although DNNs significantly improve the analysis quality, they introduce intensive compute and… read more here.
Keywords: cpu fpga; video analysis; design; video ... See more keywords
Unveiling the Advantages of Full Coherency Architecture for FPSoC Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2024.3368189
Abstract: The traditional shared memory architectures (MAs) used for CPU-FPGA interaction on FPGA system-on-chip (FPSoC) platforms lack the support for field-programmable gate array (FPGA) caches, resulting in increased FPGA access time to shared system data and… read more here.
Keywords: coherency architecture; full coherency; cpu; fpga ... See more keywords