Increasing the robustness of CUDA Fermi GPU-based systems

Author

Di Carlo, S. ; Gambardella, Giulio ; Indaco, M. ; Martella, Ippazio ; Prinetto, P. ; Rolfo, Daniele ; Trotta, Pascal

Author_Institution

Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy

fYear

2013

fDate

8-10 July 2013

Firstpage

234

Lastpage

235

Abstract

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 image processing. In these fields, the capability of properly work even in presence of faults is mandatory. This paper presents an innovative approach, that combines a Software Based Self Test & Diagnosis (SBSTD) methodology with a fault mitigation strategy, to increase the robustness of a CUDA Fermi GPU-based system.

Keywords

built-in self test; fault diagnosis; fault tolerant computing; graphics processing units; parallel architectures; parallel programming; CUDA Fermi GPU-based systems; SBSTD methodology; fault mitigation strategy; graphical processing units; high-performance computing applications; software based self test and diagnosis methodology; Computer architecture; Fault tolerance; Fault tolerant systems; Graphics processing units; Kernel; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

On-Line Testing Symposium (IOLTS), 2013 IEEE 19th International

Conference_Location

Chania

Type

conf

DOI

10.1109/IOLTS.2013.6604088

Filename

6604088