Tayler H. Hetherington

According to our database1, Tayler H. Hetherington authored at least 12 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
EDGE: Event-Driven GPU Execution.
Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018
Proteus: Exploiting precision variability in deep neural networks.
Parallel Comput., 2018

Value-Based Deep-Learning Acceleration.
IEEE Micro, 2018

Exploiting Typical Values to Accelerate Deep Learning.
Computer, 2018

Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning.
Proceedings of the 16th IEEE International New Circuits and Systems Conference, 2018

2016
Stripes: Bit-serial deep neural network computing.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing.
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks.
Proceedings of the 2016 International Conference on Supercomputing, 2016

2015
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets.
CoRR, 2015

MemcachedGPU: scaling-up scale-out key-value stores.
Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2013
GPUWattch: enabling energy optimizations in GPGPUs.
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.
Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2012


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