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CPU-Accelerator Co-Scheduling for CNN Acceleration at the Edge
Yeongmin Kim
,
Joonho Kong
, Arslan Munir
School of Electronics Engineering
Kyungpook National University
Kansas State University
Research output
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Contribution to journal
›
Article
›
peer-review
20
Scopus citations
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Computer Science
Convolutional Neural Network
100%
Convolution Layer
41%
Network Inference
25%
Energy Efficiency
16%
Artificial Intelligence
8%
Energy Efficient
8%
Hardware Accelerator
8%
Image Classification
8%
Experimental Result
8%
Object Detection
8%
Systems Performance
8%
Load Balancing
8%
Parallelism
8%
Hardware Resource
8%
Exploit Technique
8%
Field Programmable Gate Arrays
8%
Load Balance
8%
System-on-Chip
8%
Artificial Intelligence Applications
8%