44 citations · 55 across the 8 of their papers we have counts for
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cs.AR2022★ 4 cited
LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators
Midia Reshadi, David Gregg
Deep neural networks are a promising solution for applications that solve problems based on learning data sets. DNN accelerators solve the processing bottleneck as a domain-specifi…
cs.AR2020
HOBFLOPS CNNs: Hardware Optimized Bitslice-Parallel Floating-Point Operations for Convolutional Neural Networks
James Garland, David Gregg
Convolutional neural networks (CNNs) are typically trained using 16- or 32-bit floating-point (FP) and researchers show that low-precision floating-point (FP) can be highly effecti…