Reliability requirements are critical in applications used in harsh environments. Although commercial microprocessors offer a good trade-off between cost, size, and performance, they must be tailored to meet tight reliability requirements. This work focuses on the reliability of a real space data intensive application. As a case study we have selected an ESA space benchmark that processes images of a near infrared detector (NIR-Hawaii) involving a large quantity of data with a high computational load. The reliability of the system has been accomplished with the improvement of a macro-synchronized lockstep hardening technique, taking into account the specific special needs of data intensive applications. The microprocessor implementation platform is a commercial dual-core ARM cortex A9 microprocessor. Extensive fault injection campaigns have been carried out in both memory and register file to evaluate the proposed approach. Experimental results demonstrate the high reliability of the proposed hardened system, with error detection capabilities of 100 % and improved system recovery capabilities.

在恶劣环境中使用的应用中，可靠性要求至关重要。尽管商用微处理器在成本、尺寸和性能之间提供了良好的折衷，但它们必须进行定制以满足严格的可靠性要求。这项工作的重点是真实空间数据密集型应用程序的可靠性。作为一个案例研究，我们选择了一个 ESA 空间基准，它处理涉及大量数据且计算负载高的近红外探测器 (NIR-Hawaii) 的图像。考虑到数据密集型应用程序的特定特殊需求，通过改进宏同步锁步强化技术实现了系统的可靠性。微处理器实现平台为商用双核ARM cortex A9微处理器。已经在内存和寄存器文件中进行了广泛的故障注入活动，以评估所提出的方法。实验结果证明了所提出的硬化系统的高可靠性，具有 100% 的错误检测能力和改进的系统恢复能力。