2024
DOI: 10.20944/preprints202404.0561.v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

ECHO: Energy-Efficient Computation Harnessing Online Arithmetic – a MSDF-Based Accelerator for DNN Inference

Muhammad Sohail Ibrahim,
Muhammad Usman,
Jeong-A Lee

Abstract: Deep Neural Network (DNN) inference demands substantial computing power, resulting in significant energy consumption. A large number of negative output activations in convolution layers are rendered zero due to the invocation of the ReLU activation function. This results in a substantial number of unnecessary computations that consume significant amounts of energy. This paper presents ECHO: Energy-efficient Computation Harnessing Onilne Arithmetic - A MSDF-based accelerator for DNN inference, designed for comp… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 54 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?