About the functional test of the GPGPU scheduler

B. Du, J. E. R. Condia, M. Reorda, L. Sterpone
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引用次数: 15

Abstract

General Purpose Graphical Processing Units (GPGPUs) are increasingly used in safety critical applications such as the automotive ones. Hence, techniques are required to test them during the operational phase with respect to possible permanent faults arising when the device is already deployed in the field. Functional tests adopting Software-based Self-test (SBST) are an effective solution since they provide benefits in terms of intrusiveness, flexibility and test duration. While the development of the functional test code addressing the several computational cores composing a GPGPU can be done resorting to known methods developed for CPUs, for other modules which are typical of a GPGPU we still miss effective solutions. This paper focuses on one of the most relevant module consists on the scheduler core which is in charge of managing different scalar computational cores and the different executed threads. At first, we propose a method for evaluating the fault coverage that can be achieved using an application program. Then, we provide some guidelines for improving the achieved fault coverage. Experimental results are provided on an open-source VHDL model of a GPGPU.
关于GPGPU调度程序的功能测试
通用图形处理单元(gpgpu)越来越多地用于汽车等安全关键应用。因此,需要在操作阶段对设备进行测试,以防止设备在现场部署时可能出现的永久性故障。采用基于软件的自测试(SBST)的功能测试是一种有效的解决方案,因为它们在侵入性、灵活性和测试持续时间方面提供了好处。虽然针对组成GPGPU的几个计算核心的功能测试代码的开发可以通过针对cpu开发的已知方法来完成,但对于GPGPU的其他典型模块,我们仍然缺乏有效的解决方案。本文重点讨论了调度内核中最相关的模块之一,调度内核负责管理不同的标量计算内核和不同的执行线程。首先,我们提出了一种评估故障覆盖率的方法,该方法可以通过应用程序来实现。在此基础上,提出了提高故障覆盖率的指导原则。给出了GPGPU的开源VHDL模型的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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