Work

SENNA: An Ultra-Low Latency, Time-Deterministic Field-Programmable-Spiking-Neuron-Array (FPSNA)

Year: 2025

Type: conference-paper

Abstract: SENNA is a first-of-its-kind mixed-signal circuitswitched field-programmable accelerator for Spiking Neural Networks (SNNs). We demonstrate a 1024-neuron and 25.6k synapse proof-of-concept chip in 22 nm FDSOI that achieves 687 fJ energy per synaptic operation (E/SOP) at 25 MHz and 23 mW. The IC allows a very flexible configuration of parallel processed SNNs. Due to its low power draw, low spike-in-spikeout (SISO) latency of 40 ns and time-deterministic response, this design is particularly promising for real-time edge applications.

DOI: 10.1109/esserc66193.2025.11214098

Authors: Ferdinand Pscheidl, Elmar Herzer, Andreas Stoll, Leonidas Richter, Claudia Schuhmann, Stefan Köhler, Sebastian Ruping, Matthias Kampa, Ralf Brederlow, Johannes Leugering

Institutions: Fraunhofer Research Institution for Microsystems and Solid State Technologies, Fraunhofer Institute for Integrated Circuits, ZHAW Zurich University of Applied Sciences, Technical University of Munich, University of California San Diego

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4415933840

FWCI:

Cites: 12

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