Emerging Applications of FPGAs and Reconfigurable Computing System
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 May 2025 | Viewed by 279
Special Issue Editor
Interests: reconfigurable logic; hardware implementation of signal processing; hardware implementation of machine learning; hardware real-time applications; spiking neural networks; biomedical engineering; EEG processing; ECG processing; automotive applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The continuous modernizing of the characteristics and features of FPGA devices has led to this becoming the natural choice of many final designs. Over the last three decades, these devices have evolved from a few thousand logic blocks to systems-on-chip, integrating billions of transistors. And the current result of this evolution is a set of flexibility and reconfigurability capabilities without precedents, capabilities that enable rapid prototyping, massive parallel designs, and high energy efficiency. Moreover, current FPGAs enable the integration of microprocessor architectures, thus becoming a powerful alternative to create highly efficient computer systems.
Thus, FPGA devices can be reconfigured to implement tailored designs and architectures based on the characteristics of target applications. This is the reason why the use of FPGAs and reconfigurable computing systems are rapidly increasing, bringing new opportunities for engineering across a wide range of applications.
This Special Issue, entitled “Emerging Applications of FPGAs and Reconfigurable Computing System”, is intended to present the latest advances (state-of-the-art contributions) in applications and designs using FPGAs and reconfigurable computing systems, including (but not limited to) the following:
- Control
- Image processing
- Signal processing
- Cybersecurity
- Embedded systems
- Power systems
- Intelligent systems
- Machine learning
- Biomedical applications
- Robotics
- IoT applications
- Telecommunications
- Networking
- High-performance computing
- Reconfigurable computing
- Particle physics
- Manufacturing
- Deep neural networks.
Dr. José V. Frances-Villora
Guest Editor
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Keywords
- FPGA
- reconfigurable computing
- embedded systems
- VHDL
- high-level synthesis
- verilog
- FPGA application
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