Fast and accurate thermal modeling and simulation of manycore processors and workloads

Probabilistic Analysis of Steady-State Temperature and Maximum Frequency of Multicore Processors considering Workload Variation

“…Nevertheless, to the best of our knowledge, all previous work related to steady-state analysis is based on the assumption that every workload has the same thermal contribution, which greatly hinders the estimation accuracy. In fact, temperature of multicore processors has great variations between different workloads [10,17]. Our preliminary work has demonstrated that the dynamic power of processors is highly correlated with IPCs (instructions per cycle) and that within a small temperature range, leakage power linearly depends on temperature [18].…”

“…To explore the design space of thermalaware multicore processors at the early stage, some thermal models have been proposed to estimate the temperature and performance of processors [2][3][4][5], and most of estimation approaches are based on transient analysis [6][7][8][9][10][11][12][13][14]. For transient analysis, temporal variations of temperature and performance depending on workloads are traced, contributing to high estimation accuracy.…”

“…In order to simulate the thermal behavior fast and accurately for multicore processors, several researches have been performed. Wojciechowski et al [10,20] analyzed the transient characteristics of workloads based on a finite Fourier series expansion to accurately predict the thermal behavior of multicore processors, and a new DVFS approach is presented. Liu et al [13] proposed a transient analysis method of temperature of multicore processors based on moment matching, and it is used to guide the migration processes of tasks.…”