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Full-Text Articles in Engineering

Energy Efficiency Of Computation In All-Spin Logic: Projections And Fundamental Limits, Zongya Chen Mar 2019

Energy Efficiency Of Computation In All-Spin Logic: Projections And Fundamental Limits, Zongya Chen

Masters Theses

Built with nanomagnets, a spintronic device called the all-spin logic (ASL) device carries information with only spin currents, resulting in a low power supply--10 mV. This voltage is 100 times smaller than the conventional CMOS devices (usually 0.8~1V). The potential for improved energy efficiency made possible by the low operating voltage of ASL makes it one of the most promising devices among its post-CMOS competitors.

The basic working principles of ASL device are introduced in this thesis and two complementary approaches to studying energy efficiency of computation are applied to a common set of ASL circuits: (1) a ...


Towards Energy-Efficient Hardware Acceleration Of Memory-Intensive Event-Driven Kernels On A Synchronous Neuromorphic Substrate, Saunak Saha Jan 2019

Towards Energy-Efficient Hardware Acceleration Of Memory-Intensive Event-Driven Kernels On A Synchronous Neuromorphic Substrate, Saunak Saha

Graduate Theses and Dissertations

Spiking neural networks are increasingly becoming popular as low-power alternatives to deep learning architectures. To make edge processing possible in resource-constrained embedded devices, there is a requirement for reconfigurable neuromorphic accelerators that can cater to various topologies and neural dynamics typical to these networks. Subsequently, they also must consolidate energy consumption in emulating these dynamics. Since spike processing is essentially memory-intensive in nature, a significant proportion of the system's power consumption can be reduced by eliminating redundant memory traffic to off-chip storage that holds the large synaptic data for the network. In this work, I will present CyNAPSE, a ...