Tayler H. Hetherington

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

Proteus: Exploiting precision variability in deep neural networks.

[BibT_eX]

[DOI]

Raquel Urtasun

Parallel Comput., 2018

Value-Based Deep-Learning Acceleration.

[BibT_eX]

[DOI]

Alberto Delmas Lascorz

Sayeh Sharify

IEEE Micro, 2018

Exploiting Typical Values to Accelerate Deep Learning.

[BibT_eX]

[DOI]

Alberto Delmas Lascorz

Sayeh Sharify

Zissis Poulos

Computer, 2018

Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International New Circuits and Systems Conference, 2018

2016

Stripes: Bit-serial deep neural network computing.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing.

[BibT_eX]

[DOI]

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Supercomputing, 2016

2015

Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets.

[BibT_eX]

[DOI]

Raquel Urtasun

CoRR, 2015

MemcachedGPU: scaling-up scale-out key-value stores.

[BibT_eX]

[DOI]

Mike O'Connor

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2013

GPUWattch: enabling energy optimizations in GPGPUs.

[BibT_eX]

[DOI]

Jingwen Leng

Proceedings of the 40th Annual International Symposium on Computer Architecture, 2013

2012

Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems.

[BibT_eX]

[DOI]