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Fault tolerant High Performance Computing (HPC) applications on GPGPUs

keywords GPU, PEDESTRIAN RECOGNITION, DEPENDABILITY, SAFETY

Reference persons MATTEO SONZA REORDA, LUCA STERPONE

Research Groups ELECTRONIC CAD & RELIABILITY GROUP - CAD

Thesis type RESEARCH, INNOVATIVE

Description The thesis is oriented to the development of a software design methodologies based on CUDA and Open-CL
for implementing fault tolerant automotive application (e.g. Pedestrian Recognition Algorithms).
State-of-the-art testing methodologies and fault mitigation schemes will be investigated and analyzed
during the thesis activity.

A good knowledge of C and C++ programming language is requested.

Required skills C/C++ languages


Deadline 20/04/2016      PROPONI LA TUA CANDIDATURA