The ACM/SIGDA International Symposium on Field-Programmable Gate Arrays is the premier conference for the presentation of advances in FPGA technology. In 2026, the 34th edition of ISFPGA will be held in Seaside, California, USA. Accepted papers will be published in the conference proceedings and available in the ACM Digital Library. 
Submission Topics

We solicit research papers targeting to the following topic areas:

    FPGA Architecture: Architectures for programmable logic fabrics or their components, including routing, reconfigurable logic cells, embedded blocks (memory, DSP, processors), and I/O interfaces. Novel commercial architectures and architectural features. 
    FPGA Circuit Design: Circuits and layout techniques for the design of FPGAs. Impact of future process and design technologies on FPGAs as well as novel memory or nano-scale devices. Methods for analyzing and improving static and dynamic power consumption, power and clock distribution, yield, manufacturability, security, reliability, and testability. 
    CAD for FPGAs: Algorithms for synthesis, technology mapping, logic and timing optimization, clustering, placement, and routing of FPGAs. Novel design software for system-level partitioning, debug, and verification. Algorithms for modeling, analysis and optimization of timing and power. 
    High-Level Abstractions and Tools for FPGAs: General-purpose and domain-specific languages, tools, and techniques to facilitate the design, debugging and verification of FPGA-based applications and systems. Novel hardware/software co-design and high-level synthesis methodologies enabling digital signal processing, compute acceleration, networking, machine learning, and embedded systems. 
    FPGA-based and FPGA-like Computing Engines: Systems and software for compiled accelerators, reconfigurable/adaptive computing, and rapid-prototyping. Programmable overlay architectures implemented using FPGAs. 
    Applications and Design Studies: Implementation of novel designs on FPGAs establishing state-of-the-art in high-performance, low-power, security, or high-reliability. Designs leveraging unique capabilities of FPGA architectures or demonstrating significant improvements over alternative programmable technologies (e.g., CPU, GPU). Design studies and architecture explorations enabling FPGA CAD and architecture improvements. 
    AI/ML for and on FPGAs: Architectures and implementations of FPGA-based processors for AI/ML algorithms, such as Small Language Models and Large Language Models. Novel uses of AI models to aid in the design and programming of FPGAs.