Summary of On Parallel External-memory Bidirectional Search, by Lior Siag et al.

Main: Artificial Intelligence (cs.AI)
Secondary: None

On Parallel External-Memory Bidirectional Search

by Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant

First submitted to arxiv on: 30 Dec 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary The paper presents a framework for integrating uni- and bi-directional best-first search algorithms using Parallelization and External Memory (PEM) techniques. The framework is used to develop a PEM variant of the state-of-the-art bidirectional heuristic search algorithm BAE, which is evaluated on large-scale problems. The results show that the PEM-BAE outperforms other search algorithms, including A* and MM, as well as a parallel variant of IDA*. This marks a significant milestone in the field of search algorithms, demonstrating the superiority of bidirectional search algorithms even with state-of-the-art heuristics.
Low	GrooveSquid.com (original content)	Low Difficulty Summary The paper is about finding ways to make computers solve big problems faster. They developed a new way to combine two types of search algorithms that work together really well. This new algorithm can find solutions to hard problems more quickly and accurately than other algorithms. The results show that this new algorithm works better than others in different areas, which is an important discovery.