Abstract
Energy-efficiency is one of the most challenges of designing future heterogeneous multicore system, beyond performance, hereby we propose a performance-energy efficiency analytical model for integrated heterogeneous parallel multicore system which is promising to be used for big data applications. The model extends the traditional computing-centric model by considering the overhead of data preparation which can not be neglected in heterogenous multicore processor system any more. The analysis clearly shows that higher parallelism gained from either computation or data preparation brings greater energy-efficiency. Improving the performance-energy efficiency of data preparation is another promising approach to affect power consumption. Therefore, more informed tradeoffs should be taken when we design a modern heterogeneous processor system within limited budget of energy(power).
Published Version
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