Recent Advances in Field-Programmable Gate Array (FPGA)
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E：Engineering and Technology".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 145
Special Issue Editors
Interests: field-programmable gate array (FPGA); quantum computing; AI acceleration
Interests: field-programmable gate arrays (FPGAs); computer architecture; embedded systems
Interests: field-programmable gate arrays (FPGAs); system interconnects and network-on-chips (NoC); big data analytics and sorting accelerators; many-core computer architecture
Special Issue Information
Dear Colleagues,
Field-programmable gate arrays (FPGAs) have successfully transitioned from mostly prototyping platforms to heterogeneous compute-acceleration platforms. Currently, FPGAs have been widely used in artificial intelligence (AI) acceleration, sensor signal acquisition and processing, as well as quantum information processing. With the rapid advances in AI, quantum computing, and micro-nano sensor systems, FPGAs continue to be an attractive computing platform for domain-specific accelerations. In this Special Issue, we call for high-quality and insightful manuscripts on advanced FPGA circuits and systems designs, modern FPGA architectures, high-level synthesis tools and FPGA-based applications, such as AI or LLM acceleration, quantum computing and quantum information, scientific computing, integration of sensor arrays, etc. The objective of this Special Issue is to solicit and present the latest research findings in the field of hardware and algorithm codesign with a particular interest in FPGA circuits and systems.
We look forward to receiving your submissions!
Prof. Dr. He Li
Dr. Tarek Ould-Bachir
Dr. Philippos Papaphilippou
Guest Editors
Manuscript Submission Information
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Keywords
- FPGA architecture
- FPGA circuits and systems design
- FPGA-based signal processing with micro- and nanodevices
- emerging applications: AI or LLM acceleration, neuromorphic emulation, quantum computing and quantum information, scientific computing, etc.
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