189 citations · 847 across the 17 of their papers we have counts for
19 papers
Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware
Hartmut Schmidt, Andreas Grübl, José Montes +3
As numerical simulations grow in size and complexity, they become increasingly resource-intensive in terms of time and energy. While specialized hardware accelerators often provide…
From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System
Hartmut Schmidt, José Montes, Andreas Grübl +9
The first-generation of BrainScaleS, also referred to as BrainScaleS-1, is a neuromorphic system for emulating large-scale networks of spiking neurons. Following a "physical modeli…
Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL
Tobias Thommes, Sven Bordukat, Andreas Grübl +3
The BrainScaleS-2 (BSS-2) Neuromorphic Computing System currently consists of multiple single-chip setups, which are connected to a compute cluster via Gigabit-Ethernet network tec…
BrainScaleS Large Scale Spike Communication using Extoll
Tobias Thommes, Niels Buwen, Andreas Grübl +3
The BrainScaleS Neuromorphic Computing System is currently connected to a compute cluster via Gigabit-Ethernet network technology. This is convenient for the currently used experim…
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware
Johannes Weis, Philipp Spilger, Sebastian Billaudelle +11
The neuromorphic BrainScaleS-2 ASIC comprises mixed-signal neurons and synapse circuits as well as two versatile digital microprocessors. Primarily designed to emulate spiking neur…
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer +2
This paper presents verification and implementation methods that have been developed for the design of the BrainScaleS-2 65nm ASICs. The 2nd generation BrainScaleS chips are mixed-…