Modeling and Estimation for the Power Consumption of Matrix Computation on Multi-core Platform
Da Qi Ren, Reiji Suda · 2009
We model and estimate the power consumption of large-scale matrix multiplication by including the most basic power parameters in the parallel algorithm analysis. The matrix multiplication program has been designed based on multi-core frameworks. A Bridging Model (BM) is employed to incorporate the numerical parameters of ultimate physical constraints from power-relevant components and coarse-grained features of the multi-core platform. Consequently the power consumption is predicted by calculating the timing and power factors in the performance analysis equation. The power model and estimation results are validated by measuring the program running on real systems.