PRISM: predicting resilience of GPU applications using statistical methods.
Cham KalraFritz PrevilonXiangyu LiNorman RubinDavid R. KaeliPublished in: SC (2018)
Keyphrases
- statistical methods
- statistical analysis
- computational methods
- machine learning
- biological data
- real time
- statistical models
- machine learning methods
- statistical approaches
- graphics hardware
- probability density function
- statistical analyses
- generation algorithm
- fault tolerance
- data mining techniques
- gpu implementation
- parallel processing
- statistical tests
- databases
- risk factors
- parallel computing
- statistical inference
- gpu accelerated
- parallel computation
- graphics processing units
- parallel implementation
- data integration
- higher order
- artificial intelligence
- data sets