Title :
The applications of memristor devices in next-generation cortical processor designs
Author :
Hai Li ; Beiye Liu ; Xiaoxiao Liu ; Mengjie Mao ; Yiran Chen ; Qing Wu ; Qinru Qiu
Author_Institution :
Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
Abstract :
Discovery of memristor opened a new era of the research on universal memory thanks to many attractive properties demonstrated by this emerging device. In this paper, we switch our research focus to neuromorphic computing, which, same as memory technology, significantly benefits from the technical advances of memristor. Particularly, we present the implementation of cortical processor augmented with neuromorphic computing accelerators (NCAs) for cognitive applications, including: 1) the design details and basic operations of the NCA based on memristor crossbars; and 2) the integration between conventional pipeline and NCAs. At the end, we also discuss the scalability of our proposed NCA designs.
Keywords :
memristors; neural chips; NCA designs; cognitive applications; memory technology; memristor crossbars; memristor devices; neuromorphic computing accelerators; next-generation cortical processor designs; pipeline; universal memory; Biological neural networks; Memristors; Neuromorphics; Neurons; Pipelines; System-on-chip; Training;
Conference_Titel :
Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
Conference_Location :
Lisbon
DOI :
10.1109/ISCAS.2015.7168559