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In the present
time Natural products are considered to be symbols of protection in
comparison to the synthetic product that are regarded as unsafe to human life
and environment. Although a large number of synthetic drugs are being added to
the world of present pharmacopoeia, but still no system of medicine in the
world has been able to solve all the health problems, which include diseases
like Cancer. Therefore the search
for innovative therapeutic constituents from plants is genuine and urgent. In
India, there is an ocean of knowledge about medicinal plants and rich medicinal
flora, but still only a few pearls have been searched as therapeutic agents.
There are large numbers of original plants left which have not been
investigated thoroughly from modern scientific view or their healing values
have not been known. Thus there is an insistent need for systematic
phytochemical examination of those plants which have not been investigated scientifically.
More research can be done to investigate the unknown and unexplored potential
of plants. Further analysis of plants (active compounds) can be carried out by
way of making use of different analytical methods such as HPTLC, HPLC, NMR and
UV spectrophotometer analysis or computer based drug designing.
Dynamic Voltage Frequency Scaling (DVFS) techniques are used to improve energy efficiency of GPUs. Literature survey and thorough analysis of various schemes on DVFS techniques during the last decade are presented in this paper. Detailed analysis of the schemes is included with respect to comparison of various DVFS techniques over the years. To endow with knowledge of various power management techniques that utilize DVFS during the last decade is the main objective of this paper. During the study, we find that DVFS not only work solely but also in coordination with other power optimization techniques like load balancing and task mapping where performance and energy efficiency are affected by varying the platform and benchmark. Thorough analysis of various schemes on DVFS techniques is presented in this paper such that further research in the field of DVFS can be enhanced.