scholarly journals PEPSC: A Power-Efficient Processor for Scientific Computing

2011 ◽  
Author(s):  
Ganesh Dasika ◽  
Ankit Sethia ◽  
Trevor Mudge ◽  
Scott Mahlke
Keyword(s):  
Scientific Computing ◽  
Power Efficient

EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

2011 ◽  
Vol 13 (2) ◽  
pp. 83-87 ◽  
Author(s):  
Mike Showerman ◽  
Jeremy Enos ◽  
Craig Steffen ◽  
Sean Treichler ◽  
William Gropp ◽  
...  
Keyword(s):  
Scientific Computing ◽  
Gpu Cluster ◽  
Power Efficient ◽  
Cluster Architecture

scholarly journals Analysis of GPU Power Consumption Using Internal Sensors

2017 ◽  
Author(s):  
Mariza Ferro ◽  
André Yokoyama ◽  
Vinicius Klõh ◽  
Gabrieli Silva ◽  
Rodrigo Gandra ◽  
...  
Keyword(s):  
High Resolution ◽  
Power Consumption ◽  
High Performance ◽  
Scientific Computing ◽  
Power Cost ◽  
Power Efficient ◽  
Resolution Power ◽  
Power Profile ◽  
High Resolution Power

GPUs has been widely used in scientific computing, as by offering exceptional performance as by power-efficient hardware. Its position established in high-performance and scientific computing communities has increased the urgency of understanding the power cost of GPU usage in accurate measurements. For this, the use of internal sensors are extremely important. In this work, we employ the GPU sensors to obtain high-resolution power profiles of real and benchmark applications. We wrote our own tools to query the sensors of two NVIDIA GPUs from different generations and compare the accuracy of them. Also, we compare the power profile of GPU with CPU using IPMItool.

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