GaspiLS is a scalable linear solver library for the exascale age and is industry proven in CFD and FEM simulations. Its easily extendable standard API is compact, yet powerful for parallel computations and allows for smooth transitions from legacy applications in little to no time.
GaspiLS comes with a collection of iterative solvers (Richardson, (P)CG, BiPCGStab, GMRES) and preconditiones (Jacobi, ILU(0), MILU), which can be easily expanded by adding custom solvers and/or preconditioners.
A hybrid-parallel implementation for scalability results in a much better surface to volume ratio and the task based parallelization yields optimal load balancing. The design is multi-threaded with thread-safe matrix assembly and fully threaded matrix finalization.
GaspiLS inherits the Gaspi/GPI-2 programming model and leverages its unique advantages to achieve overlap of computation and communication.
Scalability quantifies the additional benefit generated by adding extra resources to a computational problem. In case of optimal scalability, this benefit is 100 percent and only optimal scalability can guarantee full resource utilization. GaspiLS delivers superior performance and scalability, which means:
In research, the high scalability of GaspiLS helps us to reduce the time to solution of our demanding pore-scale simulations.