Deep Learning Accelerators' Configuration Space Exploration Effect on Performance and Resource Utilization: A Gemmini Case Study.
Dennis Agyemanh Nana GookyiEunchong LeeKyungho KimSung-Joon JangSang-Seol LeePublished in: Sensors (2023)
Keyphrases
- deep learning
- resource utilization
- configuration space
- load balancing
- degrees of freedom
- path planning
- resource management
- quality of service
- motion planning
- unsupervised learning
- response time
- high availability
- machine learning
- virtual machine
- weakly supervised
- network resources
- video streaming
- energy consumption
- grid computing
- three dimensional
- real time
- path finding