Graduated today with a PhD in Computer Science from Trinity College Dublin, Ireland. Hard to believe it, but I am now officially Dr James Garland, PhD!
Tag: PhD
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Postgraduate Researcher Required
I am looking for a potential Postgraduate Researcher interested in machine learning, digital twins, and energy efficiency for a President’s Research Fellowship Scholarship position based at the Institute of Technology Carlow, Carlow, Ireland.
Project Abstract: https://www.itcarlow.ie/public/userfiles/files/13-Calibration-Digital-Twins-Buildings-using-Machine-Learning-v2.pdf
Funding Details: https://www.itcarlow.ie/research/post-graduate-studies/graduate-opportunities/presidents-research-fellowship-scholarship.htm
Please send you applications or contact me for more details at my email: james.garland@itcarlow.ie
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PhD Thesis now Open-Sourced online and in TCD Library
My PhD thesis is now available in the online open-sourced Trinity’s Access to Research Archive (TARA) and physically in the Trinity College Dublin library. You can read the online version from TARA or the School of Computer Science and Statistics repositories.
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I passed my PhD Viva yesterday
Delighted to say that I passed my PhD Viva yesterday after a 3.5-hour viva examination. With thanks to my examiners Dr Georgios Karakonstantis and Dr Michael Manzke and chaired by Prof Khurshid Ahmad. And a special thanks to my adviser Prof. David Gregg. It’s been a blast!
And a big, big thanks for the love and support of lab mates, friends and family. And most of all I couldn’t have done it without the support of my wife Michelle, and kids Toby and Zara.
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The Next Platform Interviewed me about HOBFLOPS CNNs
- The tech journalist Timothy Prickett Morgan of The Next Platform web site and Youtube channel interviewed me on Monday 27th July 2020 about our HOBFLOPS CNN work.
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I’ve co-written a chapter of Many-Core Computing: Hardware and Software book.
I’m delighted to announce that the book “Many-Core Computing: Hardware and Software” has been published today by the Institution of Engineering and Technology (IET). I, along with Dr. Andrew Anderson, Dr. YuanWen, Barbara Barabasz, Kaveena Persand, Dr. Aravind Vasudevan, and Dr. David Gregg have written chapter 6 entitled “Hardware and software performance in deep learning”.
Go on, treat yourselves, and rush out and get a copy from the IET web site (local link on my Publications page) and tell all your friends and family too!
If I still have your attention, here’s the publisher’s official description: “Computing has moved away from a focus on performance-centric serial computation, instead towards energy-efficient parallel computation. This provides continued performance increases without increasing clock frequencies, and overcomes the thermal and power limitations of the dark-silicon era. As the number of parallel cores increases, we transition into the many-core computing era. There is considerable interest in developing methods, tools, architectures and applications to support many-core computing. The primary aim of this edited book is to provide a timely and coherent account of the recent advances in many-core computing research. Starting with programming models, operating systems and their applications; the authors present runtime management techniques, followed by system modelling, verification and testing methods, and architectures and systems. The book ends with some examples of innovative applications. “
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PASM Paper presented at HiPEAC2019
And that’s the PASM paper presented.
Lots of interest and very good questions from the audience and the session chair Luca Fanucci (Università di Pisa @Unipisa). Thoroughly enjoyed it. #HiPEAC19#hipeac2019
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Come and see my talk at HiPEAC 2019
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.
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Second Ph.D. Paper Published by ACM TACO
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: ACMACM 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.
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Passed My PhD Confirmation Viva
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.