Predicting parallel application performance via machine learning approaches
نویسندگان
چکیده
منابع مشابه
Predicting parallel application performance via machine learning approaches
Consistently growing architectural complexity and machine scales make creating accurate performance models for large-scale applications increasingly challenging. Traditional analytic models are difficult and time-consuming to construct, and are often unable to capture full system and application complexity. To address these challenges, we automatically build models based on execution samples. W...
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ژورنال
عنوان ژورنال: Concurrency and Computation: Practice and Experience
سال: 2007
ISSN: 1532-0626,1532-0634
DOI: 10.1002/cpe.1171