TY  - GEN
TI  - A Raspberry Pi controlling neuromorphic hardware
CY  - Heidelberg
A1  - Hellenbrand, Markus
N2  - This thesis describes the integration of a Raspberry Pi, a credit-card-sized single board computer, into the Wafer Scale Integration (WSI) System of the BrainScaleS project. The Raspberry Pi?s task is to bundle all the interfaces necessary to manage the system?s elaborate power supply into one single-access, easy-to-use interface. To this purpose the Raspberry Pi replaced the former evaluation board responsible for power management, taking over all of its tasks and in addition providing faster and cheaper hardware. The integration took place in two main steps: configuring the Raspberry Pi?s hardware and adapting the control programme from the former board to the new hardware. The results of this thesis are the successful integration of the Raspberry Pi into the WSI system, which was proven by several communication tests between the Raspberry Pi and the rest of the system, and an easy-to-follow step-by-step guide on how to set up Raspberry Pis to manage additional systems.
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/15510/
Y1  - 2013///
ID  - heidok15510
AV  - public
ER  -