Each chapter is devoted to some aspect of the subject: parallel algorithms for matrix computation, parallel optimization, management and data parallel programming model, with the greatest focus on parallel scientific computing in industrial applications. Key features include: construction and analysis of parallel algorithms for linear algebra and optimization problems, different aspects of parallel architectures, including distributed memory computers with multicore processors, a variety of industrial applications: parallel simulation of flow through oil filter and the porous media and gas, jet aerodynamics, heat conduction in electrical cables, optical nonlinear processes in a laser pointed, and the dynamics of molecular and cell.