I am presenting my second Ph.D. publication entitled “Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing” at HiPEAC 2019.
I will be presenting in Session 12 Programming Models, Neural Networks.
If you can’t make the talk, I’ll also be presenting a poster of the paper in the Student Poster Session.
Finally, if you can’t make the conference, you can still read my paper for free on the ACM TACO web site.
Dr. David Gregg and I have had my second Ph.D. paper published. Entitled “Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing”, the ACM Transactions on Architecture and Code Optimization published it in their August 2018 Journal. The ACM also published it on their online server, which can be viewed for free! It can also be found on the arXiv.org pre-print server.
Here are more details of the publication:
Title: Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing
Published in: ACM Transactions on Architecture and Code Optimization (TACO) (Volume: 15, Issue: 3, Article 31)
Date of Publication: August 2018
Print ISSN: 1544-3566
DOI: 10.1145/3233300
Publisher: ACM
ACM TACO Bibtex (should you wish to cite our paper):
@article{Garland:2018:LCM:3274266.3233300,
author = {Garland, James and Gregg, David},
title = {Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing},
journal = {ACM Trans. Archit. Code Optim.},
issue_date = {August 2018},
volume = {15},
number = {3},
month = sep,
year = {2018},
issn = {1544-3566},
pages = {31:1--31:24},
articleno = {31},
numpages = {24},
url = {http://doi.acm.org/10.1145/3233300},
doi = {10.1145/3233300},
acmid = {3233300},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {ASIC, CNN, FPGA, arithmetic hardware circuits, multiply accumulate, power efficiency},
}
Published in: arXiv.org. arXiv Bibtex:
@article{DBLP:journals/corr/abs-1801-10219,
author = {James Garland and David Gregg},
title = {Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing},
journal = {CoRR},
volume = {abs/1801.10219},
year = {2018},
url = {http://arxiv.org/abs/1801.10219},
archivePrefix = {arXiv},
eprint = {1801.10219},
timestamp = {Mon, 13 Aug 2018 16:47:23 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1801-10219},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
My complete list of publications can also be seen on my research publications page.
I undertook my Ph.D. Confirmation viva voce today (6th Feb 2018). This entailed a presentation and a report to two professors, Dr. Jonathan Dukes (presentation chair) and Dr. Michael Manzke (domain expert) of Trinity College Dublin who questioned me during and after the presentation. After a short discussion with my supervisor Dr. David Gregg, they confirmed me to the Ph.D. register and therefore become a Ph.D. candidate.
Just a quick note from me to congratulate and thank the organisers and lecturers for what I feel was a very enjoyable, educational, informative and entertaining (Trunk Monkey [1] aside Prof. Huebner) set of courses and keynote talks. I’m still going over it all and digesting it more than a week later! And the photos [2] are great!
The poster session was also an eye opener for me in that not only could I communicate my published paper as expected but also spread the word and hopefully get a few more citations for it 😉
Both keynotes were excellent and I look forward to getting a (Google blessed) copy of the slides from Olivier. The career talk was also informative and useful so thanks to Xavier for arranging that.
And last but not least, thank you Vicky for arranging for my family to stay at the hotel with me. They had a blast!
[1] https://www.youtube.com/watch?v=wK47Xbmc-oQ&list=PLoxADsZ9YforxtjWODy3Kz_8JjLH-Nxp7
[2] https://goo.gl/photos/KDyL5PFPc3HpQJtP6
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!