- Home
- Search Results
- Page 1 of 1
Search for: All records
-
Total Resources4
- Resource Type
-
40
- Availability
-
40
- Author / Contributor
- Filter by Author / Creator
-
-
Paulsen, Brandon (4)
-
Wang, Chao (4)
-
Deshmukh, Jyotirmoy V (1)
-
Mohammadinejad, Sara (1)
-
Sung, Chungha (1)
-
#Tyler Phillips, Kenneth E. (0)
-
& Abreu-Ramos, E. D. (0)
-
& Abramson, C. I. (0)
-
& Ahmed, K. (0)
-
& Ahmed, Khadija. (0)
-
& Akcil-Okan, O. (0)
-
& Akuom, D. (0)
-
& Aleven, V. (0)
-
& Andrews-Larson, C. (0)
-
& Archibald, J. (0)
-
& Arya, G. (0)
-
& Attari, S. Z. (0)
-
& Ayala, O. (0)
-
& Babbitt, W. (0)
-
& Baek, Y. (0)
-
- Filter by Editor
-
-
& Spizer, S. M. (0)
-
& . Spizer, S. (0)
-
& Ahn, J. (0)
-
& Bateiha, S. (0)
-
& Bosch, N. (0)
-
& Chen, B. (0)
-
& Chen, Bodong (0)
-
& Drown, S. (0)
-
& Ferretti, F. (0)
-
& Higgins, A. (0)
-
& J. Peters (0)
-
& Kali, Y. (0)
-
& Ruiz-Arias, P.M. (0)
-
& S. Spitzer (0)
-
& Spitzer, S. (0)
-
& Spitzer, S.M. (0)
-
2022 USENIX Annual Technical Conference (0)
-
:Chaosong Huang, Gang Lu (0)
-
A. Agarwal (0)
-
A. Beygelzimer (0)
-
-
Have feedback or suggestions for a way to improve these results?
!
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher.
Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
-
Paulsen, Brandon ; Wang, Chao ( , International Conference on Tools and Algorithms for the Construction and Analysis of Systems)
-
Mohammadinejad, Sara ; Paulsen, Brandon ; Deshmukh, Jyotirmoy V ; Wang, Chao ( , Formal Modeling and Analysis of Timed Systems)
-
Sung, Chungha ; Paulsen, Brandon ; Wang, Chao ( , ACM/IEEE International Conference on Automated Software Engineering)A unified modeling framework for non-functional properties of a program is essential for research in software analysis and verification, since it reduces burdens on individual researchers to implement new approaches and compare existing approaches. We present CANAL, a framework that models the cache behaviors of a program by transforming its intermediate representation in the LLVM compiler. CANAL inserts auxiliary variables and instructions over these variables, to allow standard verification tools to handle a new class of cache related properties, e.g., for computing the worst-case execution time and detecting side-channel leaks. We demonstrate the effectiveness of using three verification tools: KLEE, SMACK and Crab-llvm. We confirm the accuracy of our cache model by comparing with CPU cycle-accurate simulation results of GEM5. CANAL is available on GitHub(https://github.com/canalcache/canal) and YouTube(https://youtu.be/JDou3F1j2nY).