Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines.
Sean O. SettleManasa BollavaramPaolo D'AlbertoElliott DelayeOscar FernandezNicholas FraserAaron NgAshish SirasaoMichael WuPublished in: CoRR (2018)
Keyphrases
- high throughput
- low power
- convolutional neural networks
- low cost
- power consumption
- high speed
- genome wide
- microarray
- data acquisition
- systems biology
- biological data
- convolutional network
- single chip
- genomic data
- protein protein interactions
- mass spectrometry
- vlsi architecture
- low power consumption
- logic circuits
- cmos technology
- dna sequencing
- low latency
- vlsi circuits
- digital signal processing
- power dissipation
- mass spectrometry data
- bayesian inference
- real time
- mixed signal
- image sensor
- low complexity
- proteomic data
- data analysis