Patrick Judd

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 23

Top Topics

Back Propagation

Top Venues

IEEE Comput. Archit. Lett.

Publications

Paulius Micikevicius, Dusan Stosic, Neil Burgess, Marius Cornea, Pradeep Dubey, Richard Grisenthwaite, Sangwon Ha, Alexander Heinecke, Patrick Judd, John Kamalu, Naveen Mellempudi, Stuart F. Oberman, Mohammad Shoeybi, Michael Y. Siu, Hao Wu
FP8 Formats for Deep Learning. CoRR (2022)
Hao Wu, Patrick Judd, Xiaojie Zhang, Mikhail Isaev, Paulius Micikevicius
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation. CoRR (2020)
Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos
Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. ASPLOS (2019)
Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos
Accelerating Image-Sensor-Based Deep Learning Applications. IEEE Micro 39 (5) (2019)
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
ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. MICRO (2019)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Value-Based Deep-Learning Acceleration. IEEE Micro 38 (1) (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Zissis Poulos, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Exploiting Typical Values to Accelerate Deep Learning. Computer 51 (5) (2018)
Sayeh Sharify, Alberto Delmas Lascorz, Kevin Siu, Patrick Judd, Andreas Moshovos
Loom: exploiting weight and activation precisions to accelerate convolutional neural networks. DAC (2018)
Alberto Delmas, Sayeh Sharify, Patrick Judd, Milos Nikolic, Andreas Moshovos
DPRed: Making Typical Activation Values Matter In Deep Learning Computing. CoRR (2018)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos
Proteus: Exploiting precision variability in deep neural networks. Parallel Comput. 73 (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Mostafa Mahmoud, Tayler H. Hetherington, Milos Nikolic, Dylan Malone Stuart, Kevin Siu, Zissis Poulos, Tor M. Aamodt, Natalie D. Enright Jerger
Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. NEWCAS (2018)
Alberto Delmas, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Andreas Moshovos
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How. CoRR (2018)
Alberto Delmas, Sayeh Sharify, Patrick Judd, Andreas Moshovos
Tartan: Accelerating Fully-Connected and Convolutional Layers in Deep Learning Networks by Exploiting Numerical Precision Variability. CoRR (2017)
Jorge Albericio, Alberto Delmas, Patrick Judd, Sayeh Sharify, Gerard O'Leary, Roman Genov, Andreas Moshovos
Bit-pragmatic deep neural network computing. MICRO (2017)
Patrick Judd, Jorge Albericio, Andreas Moshovos
Stripes: Bit-Serial Deep Neural Network Computing. IEEE Comput. Archit. Lett. 16 (1) (2017)
Sayeh Sharify, Alberto Delmas Lascorz, Patrick Judd, Andreas Moshovos
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks. CoRR (2017)
Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Andreas Moshovos
Bit-Pragmatic Deep Neural Network Computing. ICLR (Workshop) (2017)
Alberto Delmas, Patrick Judd, Sayeh Sharify, Andreas Moshovos
Dynamic Stripes: Exploiting the Dynamic Precision Requirements of Activation Values in Neural Networks. CoRR (2017)
Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Andreas Moshovos
Cnvlutin2: Ineffectual-Activation-and-Weight-Free Deep Neural Network Computing. CoRR (2017)
Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Andreas Moshovos
Bit-pragmatic Deep Neural Network Computing. CoRR (2016)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Andreas Moshovos
Stripes: Bit-serial deep neural network computing. MICRO (2016)
Jorge Albericio, Patrick Judd, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos
Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. ISCA (2016)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos
Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks. ICS (2016)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets. CoRR (2015)
Goran Narancic, Patrick Judd, Di Wu, Islam Atta, Michel Elnacouzi, Jason Zebchuk, Jorge Albericio, Natalie D. Enright Jerger, Andreas Moshovos, Kyros Kutulakos, Serag Gadelrab
Evaluating the memory system behavior of smartphone workloads. ICSAMOS (2014)