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RISS 인기검색어
- 검색키워드
- 저자 : Narayana Moorthy, N. (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Raman gain in a Boron based Group-III nitride quantum well
Narayana Moorthy, N.,John Peter, A.,Lee, C.W. Academic Press 2014 Superlattices and microstructures Vol.70 No.-
Electron Raman scattering of a hydrogenic impurity is studied using exact diagonalization method in a B<SUB>x</SUB>Ga<SUB>1-x</SUB>N/BN coupled quantum well. Intersubband scattering rates, in a Boron based wide band gap GaN, are considered. B<SUB>x</SUB>Ga<SUB>1-x</SUB>N semiconductor is taken as inner quantum well and BN material is taken as barrier material. The effect of quantum confinement on the differential cross section of Raman scattering, with and without the impurity, is obtained. The built-in internal electric field is included throughout the calculations. The third order susceptibility with the incident photon energy is calculated with and without doping impurity. The donor hydrogenic binding energy and its low lying excited states are computed taking into account the geometrical confinement. The binding energy is obtained for various impurity position and the Boron alloy content in B<SUB>x</SUB>Ga<SUB>1-x</SUB>N quantum well. It is brought out that the geometrical confinement and built-in internal electric fields have great influence on the optical properties of the semiconductor.
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Performance Evaluation and Analysis of Parallel Computers Workload
M.Narayana Moorthi,R.Manjula 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.1
The current and future computer industry is changing from single core CPU to Multicore Processors. The next generation computing systems are focusing on parallel computing to solve the problem in fast and high speed using parallel programming concepts. By running more than one task at the same time with multiple processors concurrently or parallel we can achieve high speed in our computing applications. Here the performance improvement is measured in terms of increase in the number of cores per machine and is analyzed for better optimal work load balance. The parallel computers follow different workload scheduler. In this paper we investigate how to tune the performance of threaded applications with balanced load for each core or processor. The focus here is the process of comparative analysis of single core and multicore systems to run an application program for faster execution time and optimize the scheduler for better performance.
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