GPU power capping for energy-performance trade-offs in training of deep convolutional neural networks for image recognition
In the paper we present performance-energy trade-off investigation of training Deep
Convolutional Neural Networks for image recognition. Several representative and widely …
Convolutional Neural Networks for image recognition. Several representative and widely …
Combining uncore frequency and dynamic power capping to improve power savings
A Guermouche - 2022 IEEE International Parallel and …, 2022 - ieeexplore.ieee.org
The US Department of Energy sets a limit of 20 to 30 MW for future exascale machines. In
order to control their power consumption, modern processors provide many features. Power …
order to control their power consumption, modern processors provide many features. Power …
[PDF][PDF] AN OPTIMIZED FAULT-TOLERANT SCHEDULING ALGORITHM BASED ON GROUPING STRATEGY FOR HETEROGENEOUS MULTI-CORE PROCESSORS
S YU, B XIANG, Y BIAN, H LIU - scientificbulletin.upb.ro
As the circuit density continues to increase, the possibility of charged element radiation
turnover increases, so that the probability of transient failure in the execution of the computer …
turnover increases, so that the probability of transient failure in the execution of the computer …
[PDF][PDF] GPU power capping for energy-performance trade-offs in training of Deep Convolutional Neural Networks for image recognition
J Proficz - iccs-meeting.org
In the paper we present performance-energy trade-off investigation of training Deep
Convolutional Neural Networks for image recognition. Several representative and widely …
Convolutional Neural Networks for image recognition. Several representative and widely …