# A Parallel Linear Temporal Logic Tableau

arXiv: https://arxiv.org/abs/1709.02101 · HTML: https://mlsanity.com/paper/1709.02101/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Sep 2017.

## Built on by (most cited first, 2 of 2)

- [Linear Temporal Logic Modulo Theories over Finite Traces (Extended Version)](https://mlsanity.com/paper/2204.13693/) (2022)
- [Standpoint Linear Temporal Logic](https://mlsanity.com/paper/2304.14243/) (2023)

## Abstract (arXiv)

For many applications, we are unable to take full advantage of the potential massive parallelisation offered by supercomputers or cloud computing because it is too hard to work out how to divide up the computation task between processors in such a way to minimise the need for communication. However, a recently developed branch-independent tableaux for the common LTL temporal logic should intuitively be easy to parallelise as each branch can be developed independently. Here we describe a simple technique for partitioning such a tableau such that each partition can be processed independently without need for interprocess communication. We investigate the extent to which this technique improves the performance of the LTL tableau on standard benchmarks and random formulas.