information scienceITcomputingCommunication EngineeringComputer Science and Technologies

The IEEE Symposium on Field-Programmable Custom Computing Machines is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features and capabilities of FPGAs and other reconfigurable hardware. Over the past two decades, FCCM has been the place to present papers on architectures, tools, and programming models for field-programmable custom computing machines as well as applications that use such systems.

Topics of interest include but are not limited to:

Custom Computing and Reconfigurable Architectures:

Heterogeneous and mixed signal digital/analog field customizable accelerators
Neuromorphic emulation and accelerators
Memory centric computing architectures
Overlays, coarse grained reconfigurable architectures
Clusters, data centers, and large systems
IoT and Embedded SoC, MPSoC architectures with reconfigurable devices
Security enhancements for reconfigurable computing
Customizable soft processor systems
Abstractions, Programming Models, and Tools:

Use of Large Language Models (LLMs) for FPGA design
Domain-specific languages, frameworks, and open-source hw/sw synthesis/compilation tools
Design tools, instrumentation, debug for designer productivity
High-level synthesis
Software-defined-systems (e.g. radio, networks, frameworks for new domains)
CAD tools, abstractions, and languages for mixed analog/digital fabrics
Run Time Reconfiguration:

Run-time management and scheduling of reconfigurable hardware
System resilience/fault tolerance for reconfigurable hardware
Evolvable, adaptable, approximate, or autonomous reconfigurable computing systems
Security assessment and enhancement of run-time reconfiguration
Applications

Evaluations and analysis on custom computing architectures with GPUs, NPUs, or DSPs
Post Quantum Cryptography, Quantum control and emulation
Safety critical, reliable and high assurance
Security detection and prevention, and Side Channel analysis and Attack
Digital twin, modeling, and acceleration