OS Level Power Optimization in LCMP
Vanlalmuansangi Khenglawt1, Zonunmawii2, Vanlalhruaia3
1Vanlalmuansangi Khenglawt, Faculty in Department of Information Technology, Mizoram University, Aizawl, Mizoram, India.
2Zonunmawii, Faculty in Department of Electronics and Communication Engineering, Mizoram University, Aizawl, Mizoram, India.
3Vanlalhruaia, Faculty in Department of Computer Engineering, Mizoram University, Aizawl, Mizoram, India.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 10089-10092 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9552118419/2019©BEIESP | DOI: 10.35940/ijrte.D9552.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the increasing levels of transistor count and clock rate of microprocessors there is a significant increase in power dissipation. Reducing power consumption in both high power consumption and high performance has developed into one of the main target in designing a system for various devices. As the chip multiprocessor (CMP) are integrating more cores on the die, it will leads to the extent of Large scale CMP (LCMP) architectures with potentially hundreds of thread on the die and thousands of cores. Therefore, we proposed an approach of OS level power optimization in LCMP to optimize the heat dissipation rate and increase computing power under some considerations. To satisfy the main goal of our work, the heat dissipation should be optimizing with increase in computing power. The approach of optimizing the heat dissipation is done at the synthesis level. There are three approaches for modifying the synthetic benchmark: Singly Synthesis, Hierarchical Synthesis and Group Synthesis. The result is that the power dissipation of Group synthesis is equally distributed without giving more loads to only one processor as compared to Hierarchical Synthesis and Singly Synthesis. Therefore, from our result we can conclude that in Group Synthesis power is equally distributed hence heat dissipation is optimized. The future work will be to further optimize the result of the Synthesis level using thread migration. Thread Migration can increase the system throughput; it relies on multiple cores that vary in performance capabilities.
Keywords: Large Scale Chip Multiprocessor (LCMP), Power consumption, Power optimization.
Scope of the Article: Waveform Optimization for Wireless Power Transfer.