The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: 11th International Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC 2025)
Authors: Nick Song, Marion Sudvarg, and Roger Chamberlain (Washington University, St. Louis)
Abstract: Many instruments used in high-energy particle physics observations, e.g., gamma-ray telescopes, use FPGAs for front-end signal processing of raw sensor data. The use of high-level synthesis HLS) to express the signal processing algorithms has the potential to significantly reduce development time for new instruments of this type. We describe our experience with one of the computational stages in the signal processing pipeline, island detection, exploring its implementation across multiple configurations: 1D versus 2D islands, and 4-way versus 8-way connected-component labeling (CCL) in the 2D configuration. We report resource usage and performance for each, including the required optimizations necessary for HLS to be effective. Results indicate that our implementation can perform 4-way CCL on 15k images per second even for 43 × 43 pixel arrays.
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