7,433 research outputs found
Energy-efficient hybrid spintronic-straintronic reconfigurable bit comparator
We propose a reconfigurable bit comparator implemented with a nanowire spin
valve whose two contacts are magnetostrictive with bistable magnetization.
Reference and input bits are "written" into the magnetization states of the two
contacts with electrically generated strain and the spin-valve's resistance is
lowered if they match. Multiple comparators can be interfaced in parallel with
a magneto-tunneling junction to determine if an N-bit input stream matches an
N-bit reference stream bit by bit. The system is robust against thermal noise
at room temperature and a 16-bit comparator can operate at roughly 416 MHz
while dissipating at most 420 aJ per cycle.Comment: Submitted to Applied Physics Letters. Version 1 ignored the energy
dissipation in the passive resistors since they were very high. However, high
resistances increase the RC time constant associated with charging. In
version 2, the RC time constant has been reduced at the expense of increased
energy dissipation, but the latter is still very small in absolute term
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A RISC-V Vector Processor With Simultaneous-Switching Switched-Capacitor DC-DC Converters in 28 nm FDSOI
This work demonstrates a RISC-V vector microprocessor implemented in 28 nm FDSOI with fully integrated simultaneous-switching switched-capacitor DC-DC (SC DC-DC) converters and adaptive clocking that generates four on-chip voltages between 0.45 and 1 V using only 1.0 V core and 1.8 V IO voltage inputs. The converters achieve high efficiency at the system level by switching simultaneously to avoid charge-sharing losses and by using an adaptive clock to maximize performance for the resulting voltage ripple. Details about the implementation of the DC-DC switches, DC-DC controller, and adaptive clock are provided, and the sources of conversion loss are analyzed based on measured results. This system pushes the capabilities of dynamic voltage scaling by enabling fast transitions (20 ns), simple packaging (no off-chip passives), low area overhead (16%), high conversion efficiency (80%-86%), and high energy efficiency (26.2 DP GFLOPS/W) for mobile devices
Neuro-memristive Circuits for Edge Computing: A review
The volume, veracity, variability, and velocity of data produced from the
ever-increasing network of sensors connected to Internet pose challenges for
power management, scalability, and sustainability of cloud computing
infrastructure. Increasing the data processing capability of edge computing
devices at lower power requirements can reduce several overheads for cloud
computing solutions. This paper provides the review of neuromorphic
CMOS-memristive architectures that can be integrated into edge computing
devices. We discuss why the neuromorphic architectures are useful for edge
devices and show the advantages, drawbacks and open problems in the field of
neuro-memristive circuits for edge computing
Context Information Based Initial Cell Search for Millimeter Wave 5G Cellular Networks
Millimeter wave (mmWave) communication is envisioned as a cornerstone to
fulfill the data rate requirements for fifth generation (5G) cellular networks.
In mmWave communication, beamforming is considered as a key technology to
combat the high path-loss, and unlike in conventional microwave communication,
beamforming may be necessary even during initial access/cell search. Among the
proposed beamforming schemes for initial cell search, analog beamforming is a
power efficient approach but suffers from its inherent search delay during
initial access. In this work, we argue that analog beamforming can still be a
viable choice when context information about mmWave base stations (BS) is
available at the mobile station (MS). We then study how the performance of
analog beamforming degrades in case of angular errors in the available context
information. Finally, we present an analog beamforming receiver architecture
that uses multiple arrays of Phase Shifters and a single RF chain to combat the
effect of angular errors, showing that it can achieve the same performance as
hybrid beamforming
Improving practical sensitivity of energy optimized wake-up receivers: proof of concept in 65nm CMOS
We present a high performance low-power digital base-band architecture,
specially designed for an energy optimized duty-cycled wake-up receiver scheme.
Based on a careful wake-up beacon design, a structured wake-up beacon detection
technique leads to an architecture that compensates for the implementation loss
of a low-power wake-up receiver front-end at low energy and area costs. Design
parameters are selected by energy optimization and the architecture is easily
scalable to support various network sizes. Fabricated in 65nm CMOS, the digital
base-band consumes 0.9uW (V_DD=0.37V) in sub-threshold operation at 250kbps,
with appropriate 97% wake-up beacon detection and 0.04% false alarm
probabilities. The circuit is fully functional at a minimum V_DD of 0.23V at
f_max=5kHz and 0.018uW power consumption. Based on these results we show that
our digital base-band can be used as a companion to compensate for front-end
implementation losses resulting from the limited wake-up receiver power budget
at a negligible cost. This implies an improvement of the practical sensitivity
of the wake-up receiver, compared to what is traditionally reported.Comment: Submitted to IEEE Sensors Journa
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