Abstract. In the numerical solution of partial differential equations using a method-of-lines approach, the availability of high order spatial discretization schemes motivates the development of sophisticated high order time integration methods. For multiphysics problems with both stiff and non-stiff terms implicit-explicit (IMEX) time stepping methods attempt to combine the lower cost advantage of explicit schemes with the favorable stability properties of implicit schemes. Existing high order IMEX Runge Kutta or linear multistep methods, however, suffer from accuracy or stability reduction.This work shows that IMEX general linear methods (GLMs) are competitive alternatives to classic IMEX schemes for large problems arising in practice. High order IMEX-GLMs are constructed in the framework developed by the authors [34]. The stability regions of the new schemes are optimized numerically. The resulting IMEX-GLMs have similar stability properties as IMEX RungeKutta methods, but they do not suffer from order reduction, and are superior in terms of accuracy and efficiency. Numerical experiments with two and three dimensional test problems illustrate the potential of the new schemes to speed up complex applications.Key words. implicit-explicit integration, general linear methods, DIMSIM AMS subject classifications. 65C20, 65M60, 86A10, 35L651. Introduction. Many problems in science and engineering are modeled by time-dependent systems of equations involving both stiff and nonstiff terms. Examples include advection-diffusion-reaction equations, fluid-structure interactions, and Navier-Stokes equations, and arise in application areas such as mechanical and chemical engineering, astrophysics, meteorology and oceanography, and environmental science.A method-of-lines approach is frequently employed to separate the spatial and temporal terms in the governing partial differential equations. After the spatial terms are discretized by techniques such as finite differences, finite volumes ,and finite elements, the resulting system of ordinary differential equations (ODEs) is integrated in time. Stiffness may result from different time scales involved (e.g., convective versus acoustic waves), from local processes such as chemical reactions, and from grids with complex geometry [22].Explicit numerical integration schemes have maximum allowable time steps bounded by the fastest time scales in the system; for example, the time steps are restricted by the CFL stability condition. Implicit integration schemes can avoid the step size restrictions but require the solution of large nonlinear systems at each step, and are therefore computationally expensive. It is therefore of considerable interest to construct numerical integration schemes that avoid the time step restrictions while maintaining a high computational efficiency. In the implicit-explicit (IMEX) framework computational efficiency is achieved by performing an implicit integration only for the stiff components of the system.