TY  - GEN
AU  - Pi Puig,Martín
AU  - De Giusti,Laura Cristina
AU  - Naiouf,Ricardo Marcelo
AU  - De Giusti,Armando Eduardo
TI  - A study of hardware performance counters selection for cross architectural GPU power modeling
KW  - PROCESADORES GRÁFICOS (GPUs)
KW  - consumo de energía
N1  - Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca); Congreso Argentino de Ciencias de la Computación (25to : 2019 : Río Cuarto, Córdoba)
N2  - In the exascale race where huge corporations are spending billions of dollars on designing highly efficient heterogeneous supercomputers, the real need to reduce power envelopes forces current technologies to face crucial challenges as well as it demands the scientific community to evaluate and optimize the performance-power ratio. While energy consumption continues to climb up, the viability of these massive systems becomes a growing concern. In this context, the relevance of specific power-related research works turns into a priority. So we here develop an exhaustive step-by-step process for selecting a comprehensive set of hardware performance counters to serve as an input in an eventual GPU cross-architectural power consumption model. Our experiments show a high power-performance correlation between shared GPU events. Also, we present a set of events that delivers exclusive performance information in order to predict accurately GPU power fluctuations
UR  - http://sedici.unlp.edu.ar/handle/10915/90904
ER  -