Keynote at HPSC 2013 at NTU, Taiwan: Systematizing tuning of computer systems using crowdsourcing and statistics
Abstract
Continuing innovation in science and technology is vital for our society and requires ever increasing computational resources. However, delivering such resources has become intolerably complex, ad-hoc, costly and error prone due to an enormous number of available design and optimization choices combined with the complex interactions between all software and hardware components. Auto-tuning, run-time adaptation and machine learning based approaches have been demonstrating good promise to address above challenges for more than a decade but are still far from the widespread production use due to unbearably long exploration and training times, lack of a common experimental methodology, and lack of public repositories for unified data collection, analysis and mining.
Fichier principal
presentation_fursin_hpsc_2013_fursin1.pdf (6)
Télécharger le fichier
flyer_2013_2hpsc.pdf (1)
Télécharger le fichier
Format | Other |
---|
Format | Other |
---|
Loading...