Low-Power Techniques for Embedded Systems and Network-on-Chip Architectures
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 26481
Special Issue Editor
Interests: network-on-chip; blockchains; machine learning; hardware accelerators
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Last generation embedded systems have evolved from traditional standalone systems to become a complex environment where computational elements tightly interact with physical entities such as sensors networks and I/O devices.
The mobility and pervasive requirements of such environments impose power and energy consumption constraints that must be met in the context of increasing computational needs, due to the processing of large amounts of data from sensing and input devices.
This Special Issue will explore emerging approaches, ideas, and contributions to address the challenges in the design of energy efficient computational-centric embedded systems and on-chip networks.
Potential topics include, but are not limited to:
- Approximate computing for energy-efficient applications
- Novel architectures for embedded low power computing
- Communication infrastructures for energy efficient IoT environments
- Energy efficient neural networks
- Energy-aware parallel architectures for high-performance computing
- Design Platforms and Tools for optimizing energy/performance trade-offs
Dr. Davide Patti
Guest Editor
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Keywords
- embedded systems
- network-on-chip
- approximate computing
- power and energy
- cyber-physical systems
- neural networks
- Internet of Things