Paper Info
Title
Characterizing The Impact Of Prefetching On Scientific Application Performance
Abstract
In order to better understand the impact of hardware and software data prefetching on scientific application performance, this paper introduces two analysis techniques, one micro-architecture-centric and the other application-centric. We use these techniques to analyze representative full-scale production applications from five important Exascale target areas. We find that despite a great diversity in prefetching effectiveness across and even within applications, there is a strong correlation between regions where prefetching is most needed, due to high levels of memory traffic, and where it is most effective. We also observe that the application-centric analysis can explain many of the differences in prefetching effectiveness observed across the studied applications.
Year
DOI
Venue
2013
10.1007/978-3-319-10214-6_6
HIGH PERFORMANCE COMPUTING SYSTEMS: PERFORMANCE MODELING, BENCHMARKING AND SIMULATION
Keywords
Field
DocType
Performance evaluation, Data streaming, Prefetching
Computer science,Software,Computer engineering
Conference
Volume
ISSN
Citations 
8551
0302-9743
4
PageRank 
References 
Authors
0.42
14
3
Name
Order
Citations
PageRank
Collin McCurdy142727.04
Gabriel Marin269835.97
Vetter, Jeffrey32383186.44