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oai:drops-oai.dagstuhl.de:2835 2024-03-06T11:09:22Z ddc:004 open_access

Lessons Learned from last 4 Years of Reconfigurable Computing Stechele, Walter Claus, Christopher Laika, Andreas Reconfigurable computing vision-based driver assistance Partial dynamic reconfiguration of FPGAs was investigated for video-based driver assistance applications during the last 4 years. High-level application software was combined with dynamically reconfigurable hardware accelerators in selected scenarios, e.g. vehicle lights detection, optical flow motion detection. From the beginning of the project, various research challenges have been targeted, including hardware/software partitioning between embedded RISC and accelerators, granularity of reconfigurable regions, as well as the impact of the reconfiguration process on system performance. This article will review the status of these research challenges and present an outlook on future challenges, including reconfiguration look ahead. Challenges will be illustrated on robotic vision scenarios with dynamically changing computational load from soft real-time and hard real-time applications. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Walter Stechele and Christopher Claus and Andreas Laika 2010 Is Part Of Dagstuhl Seminar Proceedings, Volume 10281, Dynamically Reconfigurable Architectures (2010) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.10281.8 urn:nbn:de:0030-drops-28352 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10281.8 eng https://creativecommons.org/licenses/by/4.0/legalcode