SHF: Small: Discovering New Mapping Strategies and Architectures for Coarse-Grained Reconfigurable Devices Through Crowdsourcing and Data-Driven Techniques

粗粒度的可重构结构对于实现应用领域的节能灵活设计具有很大的希望。然而，为了将这些织物用于实际应用，非常需要开发智能映射算法来将感兴趣的应用实现到这些织物上。本研究的重点是通过众包为定制的粗粒度设备发现新的映射策略。这项研究的主要目的是开发一种科学游戏，通过利用人类的直觉和识别模式和机会的能力，甚至在复杂的问题中发现更好的映射算法。玩家在游戏环境和庞大的玩家数据集中会遇到更困难的映射问题。通过分析招式来识别成功棋手使用的常见模式。人类在基于视觉直觉和经验解决问题时所采取的战略行动所获得的见解，可用于发现传统算法无法想象的新映射方法。如果时间允许，建筑创新也将被研究，让玩家有机会在游戏环境中做出建筑上的改变。在这项研究中开发的新型节能架构和映射算法将促进广泛的便携式/可穿戴计算应用的发展，这些应用对健康、安全和安保、个人多媒体和航空航天至关重要。

Coarse-grained reconfigurable fabrics have great promise for achieving energy-efficient flexible designs for an application domain. In order to use these fabrics for practical applications, however, there is a great need to develop smart mapping algorithms to implement applications of interest onto these fabrics. This research is focused on discovering new mapping strategies for customized coarse-grained devices through crowd sourcing. The main thrust of the proposed research is to develop a science game to discover better mapping algorithms by making use of human intuition and ability to recognize patterns and opportunities even in complex problems. Players are presented with successively more difficult mapping problems in a game environment, and the vast dataset of players. Moves are analyzed to recognize common patterns used by successful game players. The insights gained from strategic moves humans make while solving problems based on their visual intuition and experience can be used to discover new mapping approaches that are beyond what can be conceived with traditional algorithms. If time permits, architectural innovations will also be investigated by giving players opportunities to make architectural changes in the game environment. New energy-efficient architectures and mapping algorithms that are developed in this research will spur development of a broad range of portable/wearable computing applications critical to health, safety and security, personal multimedia, and aerospace.