Although our methodology for modeling the TI C6416T VLIW processor power consumption is applicable for other VLIW processors, for different targeted processor architecture we can reconsider the distinction of the processor architecture into functional blocks as shown in Figure 4.
Formulations for different target functions are shown.
Thus, it requires many analyses and measures and much time to develop a power model for a target processor.
On the other hand, TAL can be processed together with a padding document to generate applications in different target languages, depending only on the specific processor used.
To achieve desired control functions for different generations of processors, our control solution includes two thermal controllers that are designed for processors with and without DVFS support, respectively.
As aforementioned, TAL must be processed together with a padding document to generate applications in different target languages, depending only on the specific TAL Processor used.
Fig. 8 Faulty decisions for different number of processors.
Our focus in this paper is performance, performance-per-watt and performance-per-$ characterization for different backend server processors.
In "Performance Characterization using Intel Xeon Based Platform" section we present a detailed performance characterization of Hadoop K-means for different key processor architecture parameters using Intel Xeon processor.
Such studies can be specifically carried out for different fuel processor systems.
