Reproducibility is widely acknowledged as a fundamental principle in scientific research. Currently, the scientific community grapples with numerous challenges associated with reproducibility, often referred to as the ''reproducibility crisis.'' This crisis permeated numerous scientific disciplines. In this study, we examined the factors in scientific practices that might contribute to this lack of reproducibility. Significant focus is placed on the prevalent integration of computation in research, which can sometimes function as a black box in published papers. Our study primarily focuses on highperformance computing (HPC), which presents unique reproducibility challenges. This paper provides a comprehensive review of these concerns and potential solutions. Furthermore, we discuss the critical role of reproducible research in advancing science and identifying persisting issues within the field of HPC.

翻译：可重复性被广泛认为是科学研究的基本原则。当前，科学界面临着与可重复性相关的诸多挑战，通常被称为"可重复性危机"。这一危机已渗透至众多科学学科。本研究考察了科学实践中可能导致可重复性缺失的因素，重点关注计算在研究中广泛应用的现状——这些计算有时在已发表论文中呈现为"黑箱"。本研究主要聚焦于高性能计算，该领域存在独特的可重复性挑战。本文全面综述了这些问题及其潜在解决方案，同时探讨了可重复性研究在推动科学发展及识别高性能计算领域现存问题中的关键作用。