High computation is a predominant requirement in many applications. In this field, Graphic Processing Units (GPUs) are more and more adopted. Low prices and high parallelism let GPUs be attractive, even in safety critical applications. Nonetheless, new methodologies must be studied and developed to increase the dependability of GPUs. This paper presents effective fault mitigation strategies for CUDA-based GPUs against permanent faults. The methodology to apply these strategies, on the software to be executed, is fully described and verified. The graceful performance degradation achieved by the proposed technique outperforms multithreaded CPU implementation, even in presence of multiple permanent faults
Graphics processing units are available solutions for high-performance safety-critical applications,...
While High Performance Computing (HPC) systems continue to scale in volume of computing elements and...
General Purpose Graphic Processing Units (GPGPUs) are effective solutions for high-demanding data pr...
High computation is a predominant requirement in many applications. In this field, Graphic Processin...
Nowadays Graphical processing Units (GPUs) have become increasingly popular due to their high comput...
Multiprocessor system-on-chip such as embedded GPUs are becoming very popular in safety-critical app...
General-purpose graphics processing units (GPGPUs) are extensively used in high-performance computin...
Graphics Processing Units (GPUs) are increasingly adopted in several domains where reliability is fu...
Graphics Processing Units (GPUs) are today adopted in several domains for which reliability is funda...
Graphics Processing Units (GPUs) are considered a promising solution for high-performance safety-cri...
Deep learning technology has enabled the development of increasingly complex safety-related autonomo...
International audienceMassively parallel processors provide high computing performance by increasing...
Deep learning technology has enabled the development of increasingly complex safety-related autonomo...
In the last decade, General Purpose Graphics Processing Units (GPGPUs) have been widely employed in ...
Nowadays, Graphical Processing Units (GPUs) have become increasingly popular due to their high compu...
Graphics processing units are available solutions for high-performance safety-critical applications,...
While High Performance Computing (HPC) systems continue to scale in volume of computing elements and...
General Purpose Graphic Processing Units (GPGPUs) are effective solutions for high-demanding data pr...
High computation is a predominant requirement in many applications. In this field, Graphic Processin...
Nowadays Graphical processing Units (GPUs) have become increasingly popular due to their high comput...
Multiprocessor system-on-chip such as embedded GPUs are becoming very popular in safety-critical app...
General-purpose graphics processing units (GPGPUs) are extensively used in high-performance computin...
Graphics Processing Units (GPUs) are increasingly adopted in several domains where reliability is fu...
Graphics Processing Units (GPUs) are today adopted in several domains for which reliability is funda...
Graphics Processing Units (GPUs) are considered a promising solution for high-performance safety-cri...
Deep learning technology has enabled the development of increasingly complex safety-related autonomo...
International audienceMassively parallel processors provide high computing performance by increasing...
Deep learning technology has enabled the development of increasingly complex safety-related autonomo...
In the last decade, General Purpose Graphics Processing Units (GPGPUs) have been widely employed in ...
Nowadays, Graphical Processing Units (GPUs) have become increasingly popular due to their high compu...
Graphics processing units are available solutions for high-performance safety-critical applications,...
While High Performance Computing (HPC) systems continue to scale in volume of computing elements and...
General Purpose Graphic Processing Units (GPGPUs) are effective solutions for high-demanding data pr...