Tayler H. Hetherington

Publication Activity (10 Years)

Years Active: 2012-2018
Publications (10 Years): 7

Top Topics

Back Propagation

Multilayer Perceptron

Top Venues

Publications

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)
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)
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)
Tayler H. Hetherington, Mike O'Connor, Tor M. Aamodt
MemcachedGPU: scaling-up scale-out key-value stores. SoCC (2015)
Jingwen Leng, Tayler H. Hetherington, Ahmed ElTantawy, Syed Zohaib Gilani, Nam Sung Kim, Tor M. Aamodt, Vijay Janapa Reddi
GPUWattch: enabling energy optimizations in GPGPUs. ISCA (2013)
Tayler H. Hetherington, Timothy G. Rogers, Lisa Hsu, Mike O'Connor, Tor M. Aamodt
Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems. ISPASS (2012)