POPL 2017 (series) / VMCAI 2017 (series) / VMCAI /
Finding Relevant Templates via the Principal Component Analysis
The polyhedral model is widely used for the static analysis of programs, thanks to its expressiveness but it is also time consuming. To cope with this problem, weak-polyhedral analysis have been developed which offer a good trade off between expressiveness and efficiency. Some of these analysis are based on templates which fixed the form of the program’s invariant. These templates are defined statically at the beginning of the analysis, without taking into account the dynamic of programs. Finding good templates is a difficult problem. In this article, we present a method that uses the Principal Component analysis to compute an interesting template. We demonstrate the relevancy of the obtained templates on several benchmarks.
slides (Seladji_VMCAI2017.pdf) | 658KiB |
Mon 16 JanDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
Mon 16 Jan
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:30 - 12:00 | |||
10:30 30mTalk | Sound Bit-Precise Numerical Domains VMCAI Tushar Sharma University of Wisconsin - Madison, USA, Thomas Reps University of Wisconsin - Madison and Grammatech Inc. File Attached | ||
11:00 30mTalk | Efficient Elimination of Redundancies in Polyhedra using Raytracing VMCAI Media Attached File Attached | ||
11:30 30mTalk | Finding Relevant Templates via the Principal Component Analysis VMCAI Yassamine Seladji University of Tlemcen File Attached |