Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems. - Tayler H. Hetherington; Timothy G. Rogers; Lisa Hsu; Mike O'Connor; Tor M. Aamodt (ISPASS, 2012)

GPUWattch: enabling energy optimizations in GPGPUs. - Jingwen Leng; Tayler H. Hetherington; Ahmed ElTantawy; Syed Zohaib Gilani; Nam Sung Kim; Tor M. Aamodt; Vijay Janapa Reddi (ISCA, 2013)

MemcachedGPU: scaling-up scale-out key-value stores. - Tayler H. Hetherington; Mike O'Connor; Tor M. Aamodt (SoCC, 2015)

Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Raquel Urtasun; Andreas Moshovos (CoRR, 2015)

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 (ICS, 2016)

Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. - Jorge Albericio; Patrick Judd; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Andreas Moshovos (ISCA, 2016)

Stripes: Bit-serial deep neural network computing. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Andreas Moshovos (MICRO, 2016)

Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas; Sayeh Sharify; Mostafa Mahmoud; Tayler H. Hetherington; Milos Nikolic 002; Dylan Malone Stuart; Kevin Siu; Zissis Poulos; Tor M. Aamodt; et al. (NEWCAS, 2018)

Exploiting Typical Values to Accelerate Deep Learning. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas Lascorz; Sayeh Sharify; Zissis Poulos; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger (Computer, 2018)

Value-Based Deep-Learning Acceleration. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas Lascorz; Sayeh Sharify; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger (IEEE Micro, 2018)

Proteus: Exploiting precision variability in deep neural networks. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Raquel Urtasun; Andreas Moshovos (Parallel Comput., 2018)

EDGE: Event-Driven GPU Execution. - Tayler Hicklin Hetherington; Maria Lubeznov; Deval Shah; Tor M. Aamodt (PACT, 2019)