200 citations · 513 across the 24 of their papers we have counts for
4 papers · 1 filter
Taxonomy and Benchmarking of Precision-Scalable MAC Arrays Under Enhanced DNN Dataflow Representation
Ehab M. Ibrahim, Linyan Mei, Marian Verhelst
Reduced-precision and variable-precision multiply-accumulate (MAC) operations provide opportunities to significantly improve energy efficiency and throughput of DNN accelerators wi…
GRAPHOPT: constrained-optimization-based parallelization of irregular graphs
Nimish Shah, Wannes Meert, Marian Verhelst
Sparse, irregular graphs show up in various applications like linear algebra, machine learning, engineering simulations, robotic control, etc. These graphs have a high degree of pa…
ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework
Linyan Mei, Pouya Houshmand, Vikram Jain +2
Building efficient embedded deep learning systems requires a tight co-design between DNN algorithms, memory hierarchy, and dataflow. However, owing to the large degrees of freedom…
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS
Bert Moons, Daniel Bankman, Lita Yang +2
This paper introduces BinarEye: a digital processor for always-on Binary Convolutional Neural Networks. The chip maximizes data reuse through a Neuron Array exploiting local weight…