POWER CONSUMPTION USING INTERNAL SENSORS: AN ANALYSIS FOR DIFFERENT GPU MODELS

• DOI: 10.22533/at.ed.5721907039

• Palavras-chave: Atena

• Keywords: Power, energy, GPU, HPC.

• Abstract:

  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.

   

• Número de páginas: 15