Neural architecture search survey: A hardware perspective
KT Chitty-Venkata, AK Somani - ACM Computing Surveys, 2022 - dl.acm.org
We review the problem of automating hardware-aware architectural design process of Deep
Neural Networks (DNNs). The field of Convolutional Neural Network (CNN) algorithm design …
Neural Networks (DNNs). The field of Convolutional Neural Network (CNN) algorithm design …
[HTML][HTML] The importance of resource awareness in artificial intelligence for healthcare
Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …
range of healthcare applications, from medical image computing and analysis to continuous …
Hardware and software optimizations for accelerating deep neural networks: Survey of current trends, challenges, and the road ahead
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning
(DL) is already present in many applications ranging from computer vision for medicine to …
(DL) is already present in many applications ranging from computer vision for medicine to …
Confuciux: Autonomous hardware resource assignment for dnn accelerators using reinforcement learning
DNN accelerators provide efficiency by leveraging reuse of activations/weights/outputs
during the DNN computations to reduce data movement from DRAM to the chip. The reuse is …
during the DNN computations to reduce data movement from DRAM to the chip. The reuse is …
A comprehensive survey on hardware-aware neural architecture search
Neural Architecture Search (NAS) methods have been growing in popularity. These
techniques have been fundamental to automate and speed up the time consuming and error …
techniques have been fundamental to automate and speed up the time consuming and error …
Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks
Neural Architecture Search (NAS) has demonstrated its power on various AI accelerating
platforms such as Field Programmable Gate Arrays (FPGAs) and Graphic Processing Units …
platforms such as Field Programmable Gate Arrays (FPGAs) and Graphic Processing Units …
AHAR: Adaptive CNN for energy-efficient human activity recognition in low-power edge devices
N Rashid, BU Demirel… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is one of the key applications of health monitoring that
requires continuous use of wearable devices to track daily activities. This article proposes an …
requires continuous use of wearable devices to track daily activities. This article proposes an …
Weight-sharing neural architecture search: A battle to shrink the optimization gap
Neural architecture search (NAS) has attracted increasing attention. In recent years,
individual search methods have been replaced by weight-sharing search methods for higher …
individual search methods have been replaced by weight-sharing search methods for higher …
Standing on the shoulders of giants: Hardware and neural architecture co-search with hot start
Hardware and neural architecture co-search that automatically generates artificial
intelligence (AI) solutions from a given dataset are promising to promote AI democratization; …
intelligence (AI) solutions from a given dataset are promising to promote AI democratization; …
NAAS: Neural accelerator architecture search
Data-driven, automatic design space exploration of neural accelerator architecture is
desirable for specialization and productivity. Previous frameworks focus on sizing the …
desirable for specialization and productivity. Previous frameworks focus on sizing the …