dc.creator | Bellas N., Antonopoulos C.D., Lalis S., Gkeka M.-R., Patras A., Keramidas G., Stamoulis I., Tavoularis N., Piperakis S., Hourdakis E., Trahanias P., Zikas P., Papagiannakis G., Kartsonaki I. | en |
dc.date.accessioned | 2023-01-31T07:37:47Z | |
dc.date.available | 2023-01-31T07:37:47Z | |
dc.date.issued | 2021 | |
dc.identifier | 10.1109/FPL53798.2021.00073 | |
dc.identifier.isbn | 9781665437592 | |
dc.identifier.uri | http://hdl.handle.net/11615/71513 | |
dc.description.abstract | In the next few years, new demanding applications will be supported on mobile platforms by reconciling two conflicting requirements: high performance (often with real-time limitations) and low power consumption. The objective of the vipGPU project is to develop hardware and software technology to provide efficient support for two such application scenarios, namely (a) simultaneous localization and mapping (SLAM) in mobile robotics systems, and (b) virtual reality (VR) in portable devices to simulate serious games with emphasis on simulating surgical interventions and medical training in general. In this project, we aim at developing a new heterogeneous platform consisting of hardware accelerators for low power embedded systems optimized (at the hardware and software level) for the implementation of the two applications mentioned above. © 2021 IEEE. | en |
dc.language.iso | en | en |
dc.source | Proceedings - 2021 31st International Conference on Field-Programmable Logic and Applications, FPL 2021 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125787319&doi=10.1109%2fFPL53798.2021.00073&partnerID=40&md5=e548394bf3b6f2bfcc45aa6cb6e9047f | |
dc.subject | Application programs | en |
dc.subject | Embedded systems | en |
dc.subject | Field programmable gate arrays (FPGA) | en |
dc.subject | Mapping | en |
dc.subject | Robotics | en |
dc.subject | Serious games | en |
dc.subject | Virtual reality | en |
dc.subject | Approximate computing | en |
dc.subject | Hardware and software | en |
dc.subject | Hardware technology | en |
dc.subject | Low Power | en |
dc.subject | Low-power consumption | en |
dc.subject | Lower-power consumption | en |
dc.subject | Mobile platform | en |
dc.subject | Performance | en |
dc.subject | Real- time | en |
dc.subject | Simultaneous localization and mapping | en |
dc.subject | Augmented reality | en |
dc.subject | Institute of Electrical and Electronics Engineers Inc. | en |
dc.title | Architectures for SLAM and augmented reality computing | en |
dc.type | conferenceItem | en |