Nanotechnology theory used for simulation of emerging big data systems on high performance computing: a conceptual framework

Abstract

The Implications of big data analytics of current trends in nanotechnology theory, model and simulation are becoming impressive issues. The potential applications of nanotechnology in the industrial sector, identifying and prioritizing research across the emerging technology are motivating to perform the integration between the conceptual framework of nanotechnology and a big data system development. This paper presents six variations to meet the contexts of a conceptual framework for modeling the complex systems involve nanotechnology theory, modeling, large scale numerical simulation in the real world problem. Integrated mathematical modeling and large scale numerical simulations are the tools to solve the complex systems. The conceptual framework is a comprehensive concept in theory, ordinary differential equation (ODE) or partial differential equation (PDE) modeling and simulation based on high performance computing (HPC). The main objective is to improve the process of huge computation of the big data modeling and to increase the performance evaluation of parallel programming on HPC platform. The framework organizes the idea and step to be considered for solving the integrated theory, mathematical modeling with fast numerical simulation, specific parallel computing strategy, communication software and HPC hardware system which are applicable for solving large scale nanotechnology applications.