16 citations · 21 across the 3 of their papers we have counts for
3 papers
Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
Joren Dumoulin, Pouya Houshmand, Vikram Jain +1
Hybrid vision transformers combine the elements of conventional neural networks (NN) and vision transformers (ViT) to enable lightweight and accurate detection. However, several ch…
MCA: Enabling Algorithm-Hardware Co-Design for Efficient Markov Chain Monte Carlo Acceleration
Shirui Zhao, Jun Yin, Lingyun Yao +3
An increasing number of applications are exploiting sampling-based algorithms for planning, optimization, and inference. The Markov Chain Monte Carlo (MCMC) algorithms form the com…
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik, Korneel Van den Berghe, Douwe den Blanken +97
Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research fiel…