Applications of knowledge distillation in remote sensing: A survey
With the ever-growing complexity of models in the field of remote sensing (RS), there is an
increasing demand for solutions that balance model accuracy with computational efficiency …
increasing demand for solutions that balance model accuracy with computational efficiency …
A fully-configurable digital spiking neuromorphic hardware design with variable quantization and mixed precision
We introduce QUANTISENC, a fully-configurable digital spiking neuromorphic hardware to
optimize performance and power consumption of spiking neural networks (SNNs) …
optimize performance and power consumption of spiking neural networks (SNNs) …
Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations
G Armeniakos, A Maras, S Xydis, D Soudris - ar** Co-Exploration and Optimization for DNN Accelerators
B Trewin - 2024 - search.proquest.com
It is extremely difficult to optimize a deep neural network (DNN) accelerator's performance
on various networks in terms of energy and/or latency because of the sheer size of the …
on various networks in terms of energy and/or latency because of the sheer size of the …