However, designing and testing as well as the parallel programming of such heterogeneous computing systems are challenging tasks.
Striking ones to me are: Deep Learning: Based on some of the papers I’ve skimmed, this is a very young research area that isn’t yet close to catching up to the state-of-the-art with regards to deep learning, which means there is plenty of low-hanging fruit.
The papers accepted to ISCA 2016 generally focus on accelerators for convolutional neural networks.
American Journal of Computer Architecture is aimed to publish all the latest and outstanding research articles, reviews and letters in all areas of bioinformatics and computational biology.
It is a rigorously peer-reviewed forum for publishing early, high-impact results in the areas of computer architecture.