A comparative study of stochastic unit commitment and security-constrained unit commitment using high performance computing

2013 ◽  
Author(s):  
Anthony Papavasiliou ◽  
Shmuel S. Oren
Keyword(s):  
Comparative Study ◽  
High Performance Computing ◽  
High Performance ◽  
Unit Commitment ◽  
Stochastic Unit Commitment ◽  
Performance Computing

scholarly journals Evaluation of Robust Unit Commitment using High Performance Computing

2014 ◽  
Author(s):  
J Zhao ◽  
E Litvinov ◽  
T Zheng ◽  
D Rajan ◽  
V Bulaevskaya ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Unit Commitment ◽  
Performance Computing

scholarly journals Action: A New Metric for Evaluating the Energy Efficiency on High Performance Computing Platforms (ranked on Green500 List)

2022 ◽  
Vol 21 ◽  
pp. 23-30
Author(s):  
E. M. Karanikolaou ◽  
M. P. Bekakos
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Comparative Study ◽  
High Performance Computing ◽  
High Performance ◽  
Ranking Systems ◽  
Performance Per Watt ◽  
Computing Platforms ◽  
Performance Computing

The need for new and more reliable metrics is always in demand. In this paper, a new metric is proposed for the evaluation of high performance computing platforms in conjunction with their energy consumption. The aim of the new metric is to reliably compare different HPC systems concerning their energy efficiency. The metric provides a mean to rank supercomputers of similar capabilities, avoiding the misleading results of metrics like performance-per-watt, currently used for ranking systems, as in the Green500 list, where systems with totally different sizes and capabilities are ranked consecutively. An example of this misuse for two adjacent systems in the Green500 list, is discussed. A comparative study for the energy efficiency of three high performance computing platforms, with different architectures, using the proposed metric is presented.

scholarly journals A Comparative Study: Taxonomy of High Performance Computing (HPC)

2018 ◽  
Vol 8 (5) ◽  
pp. 3386
Author(s):  
Ranjit Rajak
Keyword(s):  
Comparative Study ◽  
High Performance Computing ◽  
High Performance ◽  
Cluster Computing ◽  
Market Demand ◽  
Huge Data ◽  
Computing Grid ◽  
Software And Hardware ◽  
The Cost ◽  
Performance Computing

The computer technologies have rapidly developed in both software and hardware field. The complexity of software is increasing as per the market demand because the manual systems are going to become automation as well as the cost of hardware is decreasing. High Performance Computing (HPC) is very demanding technology and an attractive area of computing due to huge data processing in many applications of computing. The paper focus upon different applications of HPC and the types of HPC such as Cluster Computing, Grid Computing and Cloud Computing. It also studies, different classifications and applications of above types of HPC. All these types of HPC are demanding area of computer science. This paper also done comparative study of grid, cloud and cluster computing based on benefits, drawbacks, key areas of research, characterstics, issues and challenges.

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