Energy-aware system design compiler methods for multiprocessors and Voltage Scaling/frequency
Most critical and major in growing technology for High Performance of demand of power & energy and an urgent problem in powering technologies. Energy optimization is an enabling power Management. The Consumption of Energy Should be ascertainable not only to Gate Level or Register Transfer (RT) Level but also to the System Level. Reducing the Energy Consumption of system not deviating the overall performance of the system. The compiler optimization will help to reduce power reduction at software level. Power management software level strategy is the code optimization by measuring the difficulties at where we can get profitable of investigate optimization criteria to minimization of overall energy consumption . The Energy consumption and run time computed for various compiler techniques on XScale Architecture using XEEMU tool. The optimized code picked out and code is tuned dynamically by varying voltage-frequency. The optimized codes are tuned dynamically.
In the overall ownership cost of enterprise system, the maintenance cost consists of a major percentage. During the lifetime of an enterprise system, process customization is the most frequent maintenance efforts. However, current processing method has limited scalability and efficiency. In this case study, we explained how a scalable and efficient customization processing method was implemented. This method used the carbon emission trading mechanism to facilitate the cost benefit analysis of customization request. It also used distributed processing principle to improve the overall processing efficiency. Feedback from a pilot implementation in a large manufacturer included.