Can We Trust Undervolting in FPGA-Based Deep Learning Designs at Harsh Conditions?
Fahrettin KocBehzad SalamiOguz ErginOsman S. UnsalAdrián Cristal KestelmanPublished in: IEEE Micro (2022)
Keyphrases
- learning design
- ims learning design
- ims ld
- authoring tool
- trust model
- sufficient conditions
- learning activities
- learning technologies
- learning experience
- learning objects
- learning management systems
- e learning
- learning materials
- learning processes
- learning analytics
- sensor networks
- application specific
- process oriented
- learning resources
- hardware implementation
- mobile phone
- user modeling