most citedEvaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference

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cs.AR2026

bitSMM: A bit-Serial Matrix Multiplication Accelerator

Pedro Antunes, Artur Podobas

Neural-network (NN) inference is increasingly present on-board spacecraft to reduce downlink bandwidth and enable timely decision making. However, the power and reliability constra…

cs.AR2026★ 1 cited

Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference

Pedro Antunes, Muhammad Ihsan Al Hafiz, Jonah Ekelund +4

Space missions increasingly deploy high-fidelity sensors that produce data volumes exceeding onboard buffering and downlink capacity. This work evaluates FPGA acceleration of neura…