Applied Reconfigurable Computing (ARC): Developments and Practical Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 52
Special Issue Editors
Interests: mobile health; bioinformatics; reconfigurable computing
Interests: electronic design automation; post-CMOS technologies; computer architecture; lab-on-a-chip; the reliability of microelectronics
Interests: prediction; recommender systems; reconfigurable computing; computational intelligence; optimization; embedded computingreless communications; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reconfigurable computing (RC) systems offer an alternative approach to designing and implementing complex computing systems. These customizable computing architectures enable hardware to be dynamically restructured for a specific application. By utilizing the functionality of field-programmable gate arrays (FPGAs), RC systems can achieve significant performance and energy efficiency gains over typical general-purpose processor implementations. They also have an advantage in terms of design implementation over application-specific integrated circuits. With more demand for compute acceleration, RC systems offer a scalable alternative to other approaches.
However, reconfigurable computing faces several challenges not seen in other design paradigms, including the following:
- Design complexity and long development cycles.
- Toolchain limitations and steep learning curves.
- Integration difficulties with existing hardware/software ecosystems.
- Debugging and the verification of runtime behavior.
- Portability and standardization across platforms.
This Special Issue seeks research that addresses these challenges. We welcome submissions that explore various areas including (but not limited to) the following:
- Reconfigurable architectures and platforms (e.g., FPGAs, CGRAs, SoCs).
- Design methodologies and tools for hardware acceleration.
- Domain-specific applications:
- High-performance computing (HPC).
- Edge and embedded systems.
- AI and machine learning acceleration.
- Cryptography and cybersecurity.
- Signal and image processing.
- Quantum control.
- Runtime reconfiguration and partial reconfiguration.
- Power and performance trade-offs.
- Programming models and HLS (high-level synthesis) innovations.
- Verification, testing, and debugging techniques.
- Education and curriculum development in reconfigurable computing.
Dr. Christopher C. Doss
Dr. Daniel Brian Limbrick
Prof. Dr. Juan A. Gómez-Pulido
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- reconfigurable computing
- field-programmable gate arrays (FPGAs)
- configurable architectures
- adaptive hardware
- partial reconfiguration
- high-level synthesis (HLS)
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