research
∙
12/01/2022
Exploiting Kernel Compression on BNNs
Binary Neural Networks (BNNs) are showing tremendous success on realisti...
share
research
∙
02/14/2022
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme
Recurrent Neural Networks (RNNs) are a key technology for applications s...
research
∙
09/22/2020
E-BATCH: Energy-Efficient and High-Throughput RNN Batching
Recurrent Neural Network (RNN) inference exhibits low hardware utilizati...
research
∙
11/07/2019
Boosting LSTM Performance Through Dynamic Precision Selection
The use of low numerical precision is a fundamental optimization include...
research
∙
11/20/2017
