  In this paper, we present the StarNEig library for solving dense nonsymmetric
standard and generalized eigenvalue problems. The library is built on top of
the StarPU runtime system and targets both shared and distributed memory
machines. Some components of the library have support for GPU acceleration. The
library is currently in an early beta state and supports only real matrices.
Support for complex matrices is planned for a future release. This paper is
aimed at potential users of the library. We describe the design choices and
capabilities of the library, and contrast them to existing software such as
ScaLAPACK. StarNEig implements a ScaLAPACK compatibility layer which should
assist new users in the transition to StarNEig. We demonstrate the performance
of the library with a sample of computational experiments.
