Regensburg 2019 – wissenschaftliches Programm
SYCC: Symposium Identifying Optimal Physical Implementations for beyond von Neumann Computing Concepts
SYCC 1.2: Hauptvortrag
Freitag, 5. April 2019, 10:00–10:30, H1
Encoding neural and synaptic functionalities in electron spin: A pathway to efficient neuromorphic computing — •Kaushik Roy — ECE, 465 Northwestern Ave., Purdue University, WL, IN 47906, USA
Present day computers expend orders of magnitude more computational resources to perform various cognitive and perception related tasks that humans routinely perform every day. This has recently resulted in a seismic shift in the field of computation where research efforts are being directed to develop neurocomputers that attempt to mimic the human brain by nanoelectronic components and thereby harness its efficiency in recognition problems. Bridging the gap between neuroscience and nanoelectronics, I will review recent developments in the field of spintronic device based neuromorphic computing. Description of various spin-transfer torque mechanisms that can be potentially utilized for realizing device structures mimicking neural and synaptic functionalities will be presented. A cross-layer perspective extending from the device to the circuit and system level is presented to envision the design of an All-Spin neuromorphic processor enabled with on-chip learning functionalities. Device-circuit-algorithm co-simulation framework calibrated to experimental results suggest that such All-Spin neuromorphic systems can potentially achieve almost two orders of magnitude energy improvement in comparison to state-of-the-art CMOS implementations.