Patrick Judd
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
6
Active years
2016–2019
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2019 | ASPLOS | Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. | Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos |
| 2019 | MICRO | ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. | Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos |
| 2018 | DAC | Loom: exploiting weight and activation precisions to accelerate convolutional neural networks. | Sayeh Sharify, Alberto Delmas Lascorz, Kevin Siu, Patrick Judd, Andreas Moshovos |
| 2017 | ICLR | Bit-Pragmatic Deep Neural Network Computing. | Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Andreas Moshovos |
| 2017 | MICRO | Bit-pragmatic deep neural network computing. | Jorge Albericio, Alberto Delmas, Patrick Judd, Sayeh Sharify, Gerard O'Leary, Roman Genov, Andreas Moshovos |
| 2016 | ISCA | Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. | Jorge Albericio, Patrick Judd, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos |
| 2016 | ICS | Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks. | Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos |
| 2016 | MICRO | Stripes: Bit-serial deep neural network computing. | Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Andreas Moshovos |