MRI: Development of Melete: an interaction-oriented, software-rich compute cluster with tangible interface support for collaborative research and the classroom

提案#：CNS 11-26739PI(S)：Ullmer，Brygg Batzer，Mark A.；Brenner，Sussanne C.；Butler，Leslie G.；Parker，RodInstitution：路易斯安那州立大学标题：MRI/开发：Melete：一个面向交互的、软件丰富的、为协作研究和教室提供有形接口支持的计算集群项目建议：这个项目，开发Melete，一个集成了先进交互技术的新型面向交互的计算集群工具，服务于计算科学、技术、工程、艺术和数学(STEAM)方面的研究协作和培训，旨在提高批处理系统的能力。在过去的几十年里，批处理意味着将计算移交给远程调度器，只检索孤立的远程计算过程的结果。随着用户期望与他们丰富的移动设备和其他形式的移动计算进行更好的交互，云？作为一种计算范式，它已经变得更具互动性。Melete承诺以新的和创新的方式将这种交互范例扩展到集群计算。开发的仪器将支持生物学研究、计算材料的可视化、显示计算数学的配置空间、映射和显示来自机器人地图位置(例如考古遗址、城市环境等)的数据，以及建筑可视化。广泛的影响：这项提议通过平衡研究和研究培训背景之间的活动，有望为社会带来好处。这种方法与NSF在网络学习、网络基础设施等方面的优先事项保持一致。该提案与南方大学(HBCU)在研究和课堂影响方面的伙伴关系，建立在五年来在“网络工具”方面成功合作的基础上，为更广泛的影响提供了进一步的潜力和前景。

Proposal #: CNS 11-26739PI(s): Ullmer, Brygg Batzer, Mark A.; Brenner, Sussanne C.; Butler, Leslie G.; Parker, RodInstitution: Louisiana State UniversityTitle: MRI/Dev.: Melete: An Interaction-oriented, Software-rich Compute Cluster with Tangible Interface Support for Collaborative Research and the ClassroomProject Proposed:This project, developing Melete, a new genre of interaction-oriented compute cluster instrument integrated with advanced interaction technologies, servicing research collaboration and training in computational science, technology, engineering, arts, and mathematics (STEAM), aims to advance the capabilities of batch processing systems. In decades past, batch processing meant turning over computation to a remote dispatcher, retrieving only the results of the isolated and distant computational process. As users have evolved to expect greater interactivity with their copious mobile devices and other forms of mobile computation, the evolution of the ?cloud? as a computational paradigm ha become much more interactive. Melete promises to extend this interactive paradigm to cluster computing in new and innovative ways. The developed instrument will enable research in biology, visualization of computational materials, displaying configuration space for computational mathematics, mapping and displaying data from robot mapped locations (e.g. archeology sites, urban environments, etc), and architecture visualization.Broader Impacts: This proposal promises benefits to society by balancing activities between research and research training contexts. This approach is aligned with NSF priorities in cyberlearning, cyberinfrastructure, and beyond. The proposal's partnership with Southern University (an HBCU) inboth research and classroom impacts, building upon five years of successful collaboration in "Cybertools," provides further potential and promise for broader impact.