Minerva: Enabling low-power, highly-accurate deep neural network accelerators

B Reagen, P Whatmough, R Adolf, S Rama… - ACM SIGARCH …, 2016 - dl.acm.org
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …

[PDF][PDF] Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

BRPWR Adolf, S Rama, HLSKL José… - Power (W) - rdadolf.com
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …

[PDF][PDF] Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

BRPWR Adolf, S Rama, HLSKL José… - Power (W) - scholar.archive.org
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …

[PDF][PDF] Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

BRPWR Adolf, S Rama, HLSKL José… - scholar.harvard.edu
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …

Minerva: enabling low-power, highly-accurate deep neural network accelerators

B Reagen, P Whatmough, R Adolf, S Rama… - Proceedings of the 43rd …, 2016 - dl.acm.org
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …

[引用][C] Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

B Reagen, P Whatmough, R Adolf, S Rama… - 2016 ACM/IEEE 43rd …, 2016 - cir.nii.ac.jp

[PDF][PDF] Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

BRPWR Adolf, S Rama, HLSKL José… - Power (W) - researchgate.net
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …

[PDF][PDF] Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

BRPWR Adolf, S Rama, HLSKL José… - Power (W) - cl.cam.ac.uk
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …

[PDF][PDF] Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

B Reagen, P Whatmough, R Adolf, S Rama, HK Lee… - pdfs.semanticscholar.org
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators Page 1
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators Brandon …

Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators

B Reagen, P Whatmough, R Adolf, S Rama… - 2016 ACM/IEEE 43rd …, 2016 - computer.org
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …