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ORCIDTayler H. Hetherington
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2010 – 2019
- 2019
[c8]Tayler Hicklin Hetherington, Maria Lubeznov, Deval Shah, Tor M. Aamodt:
EDGE: Event-Driven GPU Execution. PACT 2019: 337-353- 2018
- [j3]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): 18-30 (2018) - [j2]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): 41-55 (2018) - [j1]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: 40-51 (2018) - [c7]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: 356-360 - 2016
- [c6]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: 23:1-23:12 - [c5]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: 1-13 - [c4]Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Andreas Moshovos:
Stripes: Bit-serial deep neural network computing. MICRO 2016: 19:1-19:12 - 2015
- [c3]Tayler H. Hetherington, Mike O'Connor, Tor M. Aamodt:
MemcachedGPU: scaling-up scale-out key-value stores. SoCC 2015: 43-57 - [i1]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 abs/1511.05236 (2015) - 2013
- [c2]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: 487-498 - 2012
- [c1]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: 88-98
Coauthor Index
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