A Variant of Concurrent Constraint Programming on GPU

Autor:	Talbot, Pierre, Pinel, Frédéric, Bouvry, Pascal
Rok vydání:	2022
Předmět:	Computer Science - Distributed Parallel and Cluster Computing Computer Science - Artificial Intelligence Computer Science - Programming Languages
Zdroj:	(2022) Proceedings of the AAAI Conference on Artificial Intelligence, 36(4), 3830-3839
Druh dokumentu:	Working Paper
DOI:	10.1609/aaai.v36i4.20298
Popis:	The number of cores on graphical computing units (GPUs) is reaching thousands nowadays, whereas the clock speed of processors stagnates. Unfortunately, constraint programming solvers do not take advantage yet of GPU parallelism. One reason is that constraint solvers were primarily designed within the mental frame of sequential computation. To solve this issue, we take a step back and contribute to a simple, intrinsically parallel, lock-free and formally correct programming language based on concurrent constraint programming. We then re-examine parallel constraint solving on GPUs within this formalism, and develop Turbo, a simple constraint solver entirely programmed on GPUs. Turbo validates the correctness of our approach and compares positively to a parallel CPU-based solver. Comment: AAAI-2022 paper with erratum in Section "Turbo: GPU Constraint Solver"
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2207.12116 Zobrazit plný text záznamu View this record from Arxiv