A Reconfigurable Multi-core Computing Platform for Robotics and e-Health Applications
Dennis Majoe, Ling Liu, JÃ ⁄ rg Gutknecht
- Year
- 2012
- Citations
- 3
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.
Keywords
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