Projects per year
Abstract
The aim of a probabilistic resource analysis is to derive a probability distribution of possible resource usage for a program from a probability distribution of its input. We present an automated multi-phase rewriting based method to analyze programs written in a subset of C. It generates a probability distribution of the resource usage as a possibly uncomputable expression and then transforms it into a closed form expression using over-approximations. We present the technique, outline the implementation and show results from experiments with the system.
Original language | English |
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Book series | Lecture Notes in Computer Science |
Volume | 9964 |
Pages (from-to) | 60-80 |
Number of pages | 21 |
ISSN | 0302-9743 |
DOIs | |
Publication status | Published - 2016 |
Projects
- 1 Finished
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ENTRA: Whole-Systems Energy Transparency
Gallagher, J. P., Rosendahl, M., Rhiger, M., Strand, D. L. & Bohr, N.
01/10/2012 → 30/09/2015
Project: Research