具有BOINC支持的作业级计算

2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI) Pub Date : 1900-01-01 DOI:10.1109/TAAI.2016.7880173

Chia-Chuan Chang, Ting-Han Wei, I-Chen Wu

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引用次数: 1

摘要

最近，Wu等人介绍了一种基于分布式计算的通用方法，称为Job-Level (JL) computing。JL计算已被成功地用于构建游戏程序的开卷。为了支持大规模的计算问题，如解决7×7 kill - all-Go，或为9×9 Go或Connect6构建开账本，使用记录数据库来存储JL计算结果。在本文中，我们进一步设计了一种机制，将JL计算系统与BOINC(伯克利网络计算开放基础设施)相结合，这样我们就可以利用志愿者的更多计算能力来解决更大的问题。初步实验证明了该设计的可行性。

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Job-level computing with BOINC support

Recently, Wu et al. introduced a general approach based on distributed computing named Job-Level (JL) Computing. JL Computing has been successfully used to construct the opening books of game-playing programs.? In order to support large-scale computing problems such as solving 7×7 killall-Go, or building opening books for 9×9 Go or Connect6, record databases are used to store JL computing results. In this paper, we further design a mechanism that combines the JL computing system with BOINC (Berkeley Open Infrastructure for Network Computing), so that we can leverage more computing power from volunteers to solve even larger problems. A preliminary experiment has been done to demonstrate the feasibility of the design.

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2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI)

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