Author: jpgarland

Dr. David Gregg and I have had my first paper of my PhD, entitled “Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks” published. The IEEE Computer Architecture Letters published it on 23 January 2017. Whilst waiting for the printed version, the IEEE has published it on their on-line pre-print server. It can also be found on the arXiv.org pre-print server. 

Here are more details of the publication:
Published in: IEEE Computer Architecture Letters ( Volume: PP, Issue: 99)
Date of Publication: 23 January 2017
Print ISSN: 1556-6056
DOI: 10.1109/LCA.2017.2656880
Publisher: IEEE
Sponsored by: IEEE Computer Society

Published in: arXiv.org
@ARTICLE{2016arXiv160905132G, author = {{Garland}, J. and {Gregg}, D.}, title = “{Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks}”, journal = {ArXiv e-prints}, archivePrefix = “arXiv”, eprint = {1609.05132}, keywords = {Computer Science – Neural and Evolutionary Computing}, year = 2016, month = aug, adsurl = {http://adsabs.harvard.edu/abs/2016arXiv160905132G}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }

My complete list of publications can also be seen on my research publications page.

Dr. David Gregg and I have had my first PhD paper accepted by the pre-print server arXiv (pronounced archive). The paper, entitled “Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks” is a 4 page paper, the PDF for which can be found by searching arxiv.org and directly at Comments welcome!