3 citations · 5 across the 9 of their papers we have counts for
8 papers · 1 filter
Syn2Logic: End-to-End Neuromorphic Design Automation
Artur Podobas
In this work, we propose a view on electronic Neuromorphic Design Automation (eNDA), which we see as a design automation flow that bridges computational neuroscience modeling with…
NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
Muhammad Ihsan Al Hafiz, Artur Podobas
Spiking neural networks (SNNs) are a promising paradigm for energy-efficient event-driven computation, but large-scale SNN execution remains challenging because sparse spike commun…
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…
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…
Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
Muhammad Ihsan Al Hafiz, Naresh Ravichandran, Anders Lansner +2
Edge AI applications increasingly require models that can learn and adapt on-device with minimal energy budget. Traditional deep learning models, while powerful, are often overpara…
FPGA-Based Neural Network Accelerators for Space Applications: A Survey
Pedro Antunes, Artur Podobas
Space missions are becoming increasingly ambitious, necessitating high-performance onboard spacecraft computing systems. In response, field-programmable gate arrays (FPGAs) have ga…