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…
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…
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…
A Quarter of a Century of Neuromorphic Architectures on FPGAs -- an Overview
Wiktor J. Szczerek, Artur Podobas
Neuromorphic computing is a relatively new discipline of computer science, where the principles of biological brain's computation and memory are used to create a new way of process…
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…