| KEYWORD |
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