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A Software-Based Self Test of CUDA Fermi GPUs

Stefano Di Carlo, Giulio Gambardella, Marco Indaco, Ippazio Martella, Paolo Prinetto, Daniele Rolfo, Pascal Trotta
Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, I-10129, Torino, Italy
18th IEEE European Test Symposium (ETS), 2013

@article{carlo2013software,

   title={A Software-Based Self Test of CUDA Fermi GPUs},

   author={Carlo, Stefano Di and Gambardella, Giulio and Indaco, Marco and Martella, Ippazio and Prinetto, Paolo and Rolfo, Daniele and Trotta, Pascal},

   year={2013}

}

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Nowadays, Graphical Processing Units (GPUs) have become increasingly popular due to their high computational power and low prices. This makes them particularly suitable for high-performance computing applications, like data elaboration and financial computation. In these fields, high efficient test methodologies are mandatory. One of the most effective ways to detect and localize hardware faults in GPUs is a Software-Based-Self-Test methodology (SBST). In this paper a fully comprehensive SBST and fault localization methodology for GPUs is presented. This novel approach exploits different custom test strategies for each component inside the GPU architecture. Such strategies guarantee both permanent fault detection and accurate fault localization.
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