The Efficiency of Convolution on Gemmini Deep Learning Hardware Accelerator-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

The Efficiency of Convolution on Gemmini Deep Learning Hardware Accelerator

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE AFRICON
language:
Short-container-title:

Author:

Gookyi Dennis Agyemanh Nana¹,Wilson Michael¹,Ahiadormey Roger Kwao¹,Asiedu Derek Kwaku Pobi²,Danquah Paul¹,Gyaang Raymond³

Affiliation:

1. Institute for Scientific and Technological Information, Council for Scientific and Industrial Research,Accra,Ghana

2. IMT-Atlantique,Department of Mathematical and Electrical Engineering,Brest,France

3. Bolgatanga Technical University,Department of Electrical and Electronic Engineering,Bolgatanga,Ghana

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10293181/10293212/10293709.pdf?arnumber=10293709

Reference20 articles.

1. Designing linear systolic arrays

2. Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework;peccia;ArXiv,2022

3. Hybrid Accumulator Factored Systolic Array for Machine Learning Acceleration

4. Deep Learning Accelerators’ Configuration Space Exploration Effect on Performance and Resource Utilization: A Gemmini Case Study

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP