Title from PDF of title page. / Document formatted into pages; contains 56 pages. / Thesis (M.S.C.S.)--University of South Florida, 2003. / Includes bibliographical references. / Text (Electronic thesis) in PDF format. / ABSTRACT: The increasing need for low-power computing devices has led to the efforts to optimize power in all the components of a system. It is possible to achieve significant power optimization at the software level through instruction reordering during the compilation phase. In this thesis, we have designed and implemented a novel instruction scheduling technique, called FD-ISLP, aimed at reducing the software power consumption. In the proposed approach for instruction scheduling, we modify the force-directed scheduling technique used in high-level synthesis of VLSI circuits to derive a latency-constrained algorithm that reorders the instructions in a basic block of assembly code in application software to reduce power consumption due to its execution. The scheduling algorithm takes the data dependency graph (DDG) for a given basic block and a power dissipation table (PDT), which is generated by characterizing the instruction set architecture. / ABSTRACT: We model power, commonly referred to as software power in literature, as a force to be minimized by relating the inter-instruction power cost as the spring constant,k,and the change in instruction probability as the displacement,x, in the force equation f = k * x. The salient feature of our algorithm is that it accounts for the global effect of any tentative scheduling decision, which avoids a solution being trapped in a local minima. The power estimates are obtained through using a tool set, called Simple-Power. Experimental results indicate that our technique accounts for an average of 12.68 % savings in power consumption over the original source code for the selected benchmark programs. / System requirements: World Wide Web browser and PDF reader. / Mode of access: World Wide Web.
| Identifer | oai:union.ndltd.org:USF/oai:palmm.fcla.edu:AJN3914SEB |
| Date | January 2003 |
| Creators | Dongale, Prashant. |
| Publisher | University of South Florida |
| Source Sets | University of South Flordia |
| Detected Language | English |
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