EigenEdge: Real-Time Software Execution at the Edge with RISC-V and Hardware Accelerators-Reference-Cited by-同舟云学术

EigenEdge: Real-Time Software Execution at the Edge with RISC-V and Hardware Accelerators

Published:2023-05-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of Cyber-Physical Systems and Internet of Things Week 2023
language:
Short-container-title:

Author:

Chiu Kuan-Lin¹^ORCID,Eichler Guy¹^ORCID,Seyoum Biruk¹^ORCID,Carloni Luca¹^ORCID

Affiliation:

1. Columbia University, USA

Funder

NSF

DARPA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576914.3587510

Reference47 articles.

1. [ 1 ] GTSAM : a sensor fusion library for robotics and vision . 2023 . [1] GTSAM: a sensor fusion library for robotics and vision. 2023.

2. Hardware-Efficient Deconvolution-Based GAN for Edge Computing

3. Seonmyeong Bak 2022. OpenMP Application Experiences: Porting to Accelerated Nodes. Parallel Comput. (2022). Seonmyeong Bak 2022. OpenMP Application Experiences: Porting to Accelerated Nodes. Parallel Comput. (2022).

4. Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications

5. Beatriz Blanco-Filgueira 2019. Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications. IoT-J ( 2019 ). Beatriz Blanco-Filgueira 2019. Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications. IoT-J (2019).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SpikeHard: Efficiency-Driven Neuromorphic Hardware for Heterogeneous Systems-on-Chip;ACM Transactions on Embedded Computing Systems;2023-09-09