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

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

Though custom deep learning (DL) hardware accelerators are attractive for making inferences in edge computing devices, their design and implementation remain a challenge. Open-source frameworks exist for exploring DL hardware accelerators. Gemmini is an open-source systolic array generator for agile...

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Bibliographic Details
Main Authors: Dennis Agyemanh Nana Gookyi, Eunchong Lee, Kyungho Kim, Sung-Joon Jang, Sang-Seol Lee
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
deep learning
hardware accelerators
open-source
Gemmini
systolic array
GEMM
Online Access:https://www.mdpi.com/1424-8220/23/5/2380

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https://www.mdpi.com/1424-8220/23/5/2380

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