An analysis of address and branch patterns with PatternFinder
Date of Original Version
Current processors employ aggressive prediction mechanisms to improve performance and reduce power. It is increasingly important to understand and quantify a program's dynamic behavior to effectively design next-generation prediction mechanisms. In this paper, we develop algorithms and mechanisms inspired by DNA discovery tools to analyze and quantify program dynamic behavior in terms of regularities and patterns. We describe our PatternFinder tool and analyze its results to summarize most important branch and data address pattern behaviors for a set of program traces and SPEC CPU 2006 benchmarks.
Publication Title, e.g., Journal
IISWC 2014 - IEEE International Symposium on Workload Characterization
Ozturk, Celal, Ibrahim B. Karsli, and Resit Sendag. "An analysis of address and branch patterns with PatternFinder." IISWC 2014 - IEEE International Symposium on Workload Characterization (2014): 232-242. doi: 10.1109/IISWC.2014.6983062.