High-Performance Computing (HPC) research, from hardware and software to the end applications, provides remarkable computing power to help scientists solve complex problems in science, engineering, or even daily business. Over the last decades, Message Passing Interface (MPI) libraries have been powering numerous scientific applications, such as weather forecasting, earthquake simulations, physic, and chemical simulations, to conduct ever-large-scale experiments. However, it is always challenging to practice HPC research. In this article, we use the well-established MVAPICH project to discuss how researchers can transform the HPC research into a high-performance MPI library and translate it to the HPC community.

从硬件和软件到最终应用程序的高性能计算（HPC）研究提供了卓越的计算能力，可帮助科学家解决科学，工程学乃至日常业务中的复杂问题。在过去的几十年中，消息传递接口（MPI）库已为众多科学应用（例如天气预报，地震模拟，物理和化学模拟）提供了强大的动力，以进行大规模的实验。但是，实践HPC研究始终具有挑战性。在本文中，我们使用完善的MVAPICH项目来讨论研究人员如何将HPC研究转化为高性能MPI库并将其转换为HPC社区。