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

提案编号：CNS 11- 26739 PI：Ullmer、Brygg Batzer、Mark A.;布伦纳，苏珊C.;放大图片作者：Butler，Leslie G.帕克，罗德机构：路易斯安那州立大学职称： MRI/器械：Melete：面向交互的富软件计算集群， 支持协同研究和课堂的TMENTOS接口项目建议：该项目开发Melete，一种新的面向交互的计算集群仪器，集成了先进的交互技术，服务于计算科学，技术，工程，艺术和数学（STEAM）的研究合作和培训，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交给远程调度器，只检索孤立和远程计算过程的结果。 由于用户已经发展到期望与他们丰富的移动的设备和其他形式的移动的计算更大的交互性，云？作为一个计算范例，它变得更加具有交互性。Melete承诺以新的创新方式将这种交互模式扩展到集群计算。开发的仪器将使生物学研究，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映射位置（例如考古遗址，城市环境等）的数据，以及建筑visualization.Broader影响：该提案通过平衡研究和研究培训环境之间的活动，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合作伙伴关系，建立在“网络工具”五年成功合作的基础上，为更广泛的影响提供了进一步的潜力和希望。

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.