Ginkgo: A high performance numerical linear algebra library
Ginkgo: A high performance numerical linear algebra library
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Ginkgo：高性能数值线性代数库
作者：
H. Anzt;T. Cojean;Yen;Goran Flegar;Fritz Göbel;Thomas Grützmacher;Pratik Nayak;T. Ribizel;Yu
该库专注于解决稀疏线性系统，并容纳各种矩阵格式，最先进的迭代（Krylov）求解器和预处理器，这使得该库适合各种科学应用。Ginkgo支持多种架构，如多线程CPU、NVIDIA GPU和AMD GPU。大量使用现代C++特性简化了新执行器范例和算法功能的添加，而不会引入显著的性能开销。
The library focuses on solving sparse linear systems and accommodates a large variety of matrix formats, state-of-the-art iterative (Krylov) solvers and preconditioners, which make the library suitable for a variety of scientific applications. Ginkgo supports many architectures such as multi-threaded CPU, NVIDIA GPUs, and AMD GPUs. The heavy use of modern C++ features simplifies the addition of new executor paradigms and algorithmic functionality without introducing significant performance overhead.