From the 1 of 3 linked papers with an AI index.
3 papers
A Low-Power Sparse Convolution Accelerator with Idle-First-Task-Assignment for Edge Vision
Jingyue Zhuge, Johannes Partzsch, Christian Mayr
The paper presents a low‑power ASIC accelerator that uses bitmap‑based sparse convolution and an idle‑first‑task‑assignment scheduler to efficiently run edge‑vision models like VGG…
The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing
Stefan Scholze, Johannes Partzsch, Sebastian Höppner +27
In deep learning, efficiency gets more and more important to compensate for the ongoing growth in model sizes and applications. Neuromorphic hardware has long been advocated as an…
Characterization of Off-wafer Pulse Communication in BrainScaleS Neuromorphic System
Bernhard Vogginger, Vasilis Thanasoulis, Johannes Partzsch +1
Neuromorphic VLSI systems take inspiration from biology to enable efficient emulation of large-scale spiking neural networks and to explore new computational paradigms. To establis…