Paper Info
Title
A Reconfigurable Multi-core Computing Platform for Robotics and e-Health Applications
Abstract
Increasingly embedded devices are turning to two technologies to achieve high performance and enable efficient programmability as well as product usability. The first is multi-core processing on FPGA devices in which the multi-core architecture allows software to map application-level parallelism to inherent parallel fabric to offer better performance, the re-configurability leads to flexible and adaptive designs. The second is wireless communications that allow sensors to be distributed flexibly across a structure for example in the case of a body area network. This paper describes the ongoing design of a multi RF channel, multi-core embedded design which will be used as a generic FPGA solution to meet the requirements of both e-health applications as well as robotics applications.
Year
DOI
Venue
2012
10.1109/ICIS.2012.12
Computer and Information Science
Keywords
Field
DocType
multi-core embedded design,e-health applications,multi-core architecture,high performance,adaptive design,generic fpga solution,embedded device,fpga device,multi-core processing,better performance,reconfigurable multi-core computing platform,ongoing design,fpga,hardware,wireless sensor networks,wireless communications,parallel processing,robotics,electroencephalography,field programmable gate array,field programmable gate arrays,body area network,wireless communication,sensors,embedded systems,robots,embedded system
Wireless,Computer science,Usability,Field-programmable gate array,Software,Body area network,Artificial intelligence,Robot,Wireless sensor network,Robotics,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4673-1536-4
2
0.39
References 
Authors
3
5
Name
Order
Citations
PageRank
Dennis Majoe16810.20
Lars Widmer2163.05
Ling Liu340.92
Jim Chih-Chen Kao420.39
Jürg Gutknecht513732.23