Journal of Robotics, Networking and Artificial Life
Online ISSN : 2352-6386
Print ISSN : 2405-9021
A Control and Data Transfer Platform for FPGA Applications
Sansei Hori Hakaru Tamukoh
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JOURNAL OPEN ACCESS

2022 Volume 9 Issue 1 Pages 37-42

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Abstract
Deep learning technology has made remarkable progress in recent years and has been adopted for a variety of applications such as smartphones and cloud servers. These systems employ dedicated processors to reduce power consumption and process massive amounts of data. In this paper, we propose a field-programmable gate array (FPGA) infrastructure for easy verification of user logic. The infrastructure makes it easy to communicate and control a host PC and user logic. We implemented two example logics, which were simple image processing and a restricted Boltzmann machine, into the infrastructure to confirm these features
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© 2022 ALife Robotics Corporation Ltd.
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