Late Breaking Results: The Art of Beating the Odds with Predictor-Guided Random Design Space Exploration Felix Arnold Huawei, Switzerland Maxence Bouvier Huawei, Switzerland Ryan Amaudruz Huawei, Switzerland Renzo Andri Huawei, Switzerland Lukas Cavigelli Huawei, Switzerland Abstract --This work introduces an innovative method for improving combinational digital circuits through random exploration in MIG-based synthesis. High-quality circuits are crucial for performance, power, and cost, making this a critical area of active research. Our approach incorporates next-state prediction and iterative selection, significantly accelerating the synthesis process. This novel method achieves up to 14 synthesis speedup and up to 20.94% better MIG minimization on the EPFL Combinational Benchmark Suite compared to state-of-the-art techniques. We further explore various predictor models and show that increased prediction accuracy does not guarantee an equivalent increase in synthesis quality of results or speedup, observing that randomness remains a desirable factor .

Furthermore, while the neuromorphic community has argued in favor of their higher We seek to enable classic processing of continuous energy efficiency for decades, recent research and breakthroughs ultra-sparse spatiotemporal data generated by in edge AI accelerators suggest that this might not event-based sensors with dense machine learning be the case (Dampfhoffer et al., 2023; Garrett et al., 2023; models. We propose a novel hybrid pipeline composed Moosmann et al., 2023; Caccavella et al., 2023). of asynchronous sensing and synchronous processing that combines several ideas: (1) an embedding Nevertheless, considering the inherent advantages of eventbased based on PointNet models - the ALERT vision sensors, namely high dynamic range (HDR) module - that can continuously integrate new and and high temporal resolution - simultaneously, without any dismiss old events thanks to a leakage mechanism, tradeoffs between the two -, we aim to find a way to leverage (2) a flexible readout of the embedded data this sparse and low-latency data for real-world situations.