An output-capacitor-free synthesizable digital LDO using CMP-triggered oscillator and droop detector
This article presents a synthesizable digital low-dropout regulator (DLDO) that precludes the
use of an output load capacitor. For efficient regulation, the DLDO consists of fine and …
use of an output load capacitor. For efficient regulation, the DLDO consists of fine and …
Catena: A near-threshold, sub-0.4-mW, 16-core programmable spatial array accelerator for the ultralow-power mobile and embedded Internet of Things
In this article, we present Catena, a near-threshold voltage 16-core programmable spatial
array accelerator supporting workloads for ultralow-power (ULP) mobile and embedded …
array accelerator supporting workloads for ultralow-power (ULP) mobile and embedded …
DAP: A 507-GMACs/J 256-Core Domain Adaptive Processor for Wireless Communication and Linear Algebra Kernels in 12-nm FINFET
We present domain adaptive processor (), a programmable systolic-array processor
designed for wireless communication and linear algebra workloads. uses a globally …
designed for wireless communication and linear algebra workloads. uses a globally …
Always-on sub-microwatt spiking neural network based on spike-driven clock-and power-gating for an ultra-low-power intelligent device
This paper presents a novel spiking neural network (SNN) classifier architecture for enabling
always-on artificial intelligent (AI) functions, such as keyword spotting (KWS) and visual …
always-on artificial intelligent (AI) functions, such as keyword spotting (KWS) and visual …
A 10-output, single-inductor-multiple-output DC–DC buck converter with integrated output capacitors for a sub-mW system-on-chip
Emerging sub-mW near-threshold-voltage system-on-chips require new power management
architecture that can create multiple voltage domains with the fewest possible off-chip …
architecture that can create multiple voltage domains with the fewest possible off-chip …
MEDAC: A metastability condition detection and correction technique for a near-threshold-voltage multi-voltage-/frequency-domain network-on-chip
C Lin, W He, Y Sun, B Pei, PK Chundi… - IEEE Journal of Solid …, 2020 - ieeexplore.ieee.org
This article presents a technique titled metastability condition detection and correction
(MEDAC) that is featured in a near-threshold voltage (NTV) network-on-chip (NoC) …
(MEDAC) that is featured in a near-threshold voltage (NTV) network-on-chip (NoC) …
25.8 a near-threshold-voltage network-on-chip with a metastability error detection and correction technique for supporting a quad-voltage/frequency-domain ultra-low …
C Lin, W He, Y Sun, B Pei, Z Mao… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Emerging embedded systems, such as autonomous robots/vehicles, demand a new system-
on-a-chip (SoC) that is ultra-low power (mW or even sub-mW level) but highly robust. Such …
on-a-chip (SoC) that is ultra-low power (mW or even sub-mW level) but highly robust. Such …
A Metastability Inference and Avoidance Technique for Near-Threshold-Voltage Network-on-Chip
L Shao, M Lai, S Xu, C Lin, W He - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the application of low-power design technologies such as dynamic voltage and
frequency scaling (DVFS) and globally asynchronous locally synchronization (GALS), a …
frequency scaling (DVFS) and globally asynchronous locally synchronization (GALS), a …
Design and Implementation of Domain-Specific Programmable Spatial Accelerators
KY Chen - 2023 - deepblue.lib.umich.edu
Hardware accelerators are emerging. Prompted by the demise of Dennard's scaling,
computer architects aim to bridge the gap between the increasing computational demands …
computer architects aim to bridge the gap between the increasing computational demands …
[KSIĄŻKA][B] Algorithm Hardware Co-Design of Neural Networks for Always-On Devices
PK Chundi - 2021 - search.proquest.com
Deep learning has become the algorithm of choice in many applications like face
recognition, object detection, speech recognition, etc. because of superior accuracy. Large …
recognition, object detection, speech recognition, etc. because of superior accuracy. Large …