Resumen de Optimization of Linear Algebra Core Function Framework on MulticoreProcessors
Multi-core processor is a new type of parallel nonlinear function. It has the characteristics of highefficiency, low power consumption and scalability. It has applications in several fields, such as industrial environments, military weapons systems, aerospace technology, and biomedicine. The core functionof amulticore processor is an algorithm that can realize the expansion of the capacity of the isoparametric center and the lifting space, whose main idea is to optimize the spatial distribution by changing the input vector.Traditional solution methods generally use iterative or variational methods to solve nonlinear programming problems, but linear algebraic function models are widely used because of their simplicityand ease of numerical computation.The discrete and multi-attribute matrix combination algorithmcanbeused to realize the process of transforming complex problems into easier solutions. This paper introduces the basic concepts of linear programming and conducts simulation experiments with a multicoreprocessor, and then makes improvements to a typical optimization problem. This paper analyzes themathematical principles and steps of the nonlinear mapping algorithm; then MATLAB is used as aplatform to study the design process of the multicore set-driven function. Finally it verifies that themethod is feasible in solving complex models by arithmetic examples
