This article focuses on the practical possibilities of a suitable use of parallel pro- gramming during the computational processing of heat radiation intensity optimiza- tion across the surface of an aluminium or nickel mould. In practice, an aluminium or nickel mould is rst preheated by infrared heaters located above the outer mould surface. Then the inner mould surface is sprinkled with a special PVC powder and the outer mould surface is continually warmed by infrared heaters. This is an energy- ecient way to produce arti cial leathers in the car industry (e.g., the arti cial leather on a car dashboard). It is necessary to optimize the location of the heaters to approx- imately ensure the same heat radiation intensity across the whole outer mould surface during the warming of the mould (to obtain a uniform material structure and color tone of the arti cial leather). The problem of optimization is complicated (moulds used in production are often very rugged, during the process of optimization we avoid possible collisions of two heaters as well as a heater and the mould surface). Using of gradient methods is not suitable for solving the problem (minimized function con- tains many local extremes). A genetic algorithm is used to optimize the location of the heaters. The optimization computation procedure is demanding in terms of the number of numerical operations (especially when the mould volume is large and the number of used infrared heaters is higher). In this article practical results of parallel programming during the calculation process of the evaluation function of every created individual (one possible solution of optimization problem using genetic algorithm) to de ne its tness are given. The numerical calculations were performed by a Matlab code written by the authors. Numerical experiments are focused exclusively on the opportunities to use parallel programming to accelerate the optimization procedure.