Name
Abstract | ||
|---|---|---|
Reachability analysis techniques are at the core of the current state-of-the-art technology for verifying safety properties of cyber-physical systems (CPS). The current limitation of such techniques is their inability to scale their analysis by exploiting the powerful parallel multi-core architectures now available in modern CPUs. Here, we address this limitation by presenting for the first time a suite of parallel state-space exploration algorithms that, leveraging multi-core CPUs, enable to scale the reachability analysis for linear continuous and hybrid automaton models of CPS. To demonstrate the achieved performance speedup on multi-core processors, we provide an empirical evaluation of the proposed parallel algorithms on several benchmarks comparing their key performance indicators. This enables also to identify which is the ideal algorithm and the parameters to choose that would maximize the performances for a given benchmark. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s10009-018-0485-6 | International Journal on Software Tools for Technology Transfer |
Keywords | Field | DocType |
Hybrid systems, Reachability analysis, Support functions, Parallel algorithms, Multi-core processors, Breadth-first-search | Suite,Parallel algorithm,Computer science,Breadth-first search,Parallel computing,Theoretical computer science,Reachability,Multi-core processor,Hybrid system,Speedup,Hybrid automaton | Journal |
Volume | Issue | ISSN |
21 | 4 | 1433-2787 |
Citations | PageRank | References |
1 | 0.35 | 33 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amit Gurung | 1 | 17 | 3.01 |
| rajarshi ray | 2 | 25 | 4.26 |
| Ezio Bartocci | 3 | 733 | 57.55 |
| Sergiy Bogomolov | 4 | 115 | 13.97 |
| Radu Grosu | 5 | 1011 | 97.48 |