Tag: Convolutional Neural Networks
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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…
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Second Ph.D. Paper Published by ACM TACO
Convolutional neural networks (CNNs) are one of the most successful machine learning techniques for image, voice and video processing. CNNs require large amounts of processing capacity and memory bandwidth. Hardware accelerators have been proposed for CNNs which typically contain large numbers of multiply-accumulate (MAC) units, the multipliers of which are large in an integrated circuit…
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First Paper Published of my PhD by IEEE CAL
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…
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First Paper Accepted by arXiv.org today
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!