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.

中文翻译：

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用于解决密集非对称特征值问题的基于任务、GPU 加速的健壮库

在本文中，我们提出了用于解决密集非对称标准和广义特征值问题的 StarNEig 库。该库建立在 StarPU 运行时系统之上，面向共享和分布式内存机器。该库的某些组件支持 GPU 加速。该库目前处于早期测试状态，仅支持实数矩阵。计划在未来版本中支持复杂矩阵。本文针对图书馆的潜在用户。我们描述了库的设计选择和功能，并将它们与 ScaLAPACK 等现有软件进行对比。StarNEig 实现了一个 ScaLAPACK 兼容层，它应该可以帮助新用户过渡到 StarNEig。我们通过一个计算实验样本展示了该库的性能。