2 papers
cs.DC2019
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor
Hyunbin Park, Dohyun Kim, Shiho Kim
Computationally intensive Inference tasks of Deep neural networks have enforced revolution of new accelerator architecture to reduce power consumption as well as latency. The key f…
eess.SP2018
Digital Neuron: A Hardware Inference Accelerator for Convolutional Deep Neural Networks
Hyunbin Park, Dohyun Kim, Shiho Kim
We propose a Digital Neuron, a hardware inference accelerator for convolutional deep neural networks with integer inputs and integer weights for embedded systems. The main idea to…