MRI: Development of Advanced Visualization Instrumentation for the Collaborative Exploration of Big Data

提案号：13-38192PI(s): Kuester, Falko；Thomas A. DeFanti；塔贾娜·罗斯；机构：加州大学圣地亚哥分校：MRI/Dev。项目建议：该项目旨在开发一个可扩展的全方位存在环境（ScOPE），这是一个用于协作探索大量数据的下一代可视化系统，为分析、处理和可视化来自许多不同科学和工程领域的大数据提供了一个环境。该仪器作为一个综合的、虚拟的比喻，结合了显微镜和望远镜，使用户能够探索从纳米到宏观到超大尺度的数据。ScOPE为研究人员提供了以前所未有的精度研究模拟和获取数据的能力。它有望成为培训新一代用户在协作环境中熟练使用数据分析的平台。最初，三所大学将直接使用ScOPE仪器及其所有功能：加州大学圣地亚哥分校（UCSD）、杰克逊州立大学（JSU）和德克萨斯大学医学分校（UTMB）。尽管如此，遵循项目团队的传统(有效地完成了早期的可视化技术（例如，OptIPortal瓷砖显示墙现在安装在全球100多家机构中），基础设施的关键组件将被破坏，以便其他研究或教育机构可以在远程位置复制使用。开发人员预计，私营部门的合作者，如高通和英特尔，将有助于在全国推广特定组件的使用。S大数据分析基础设施。尽管如此，该仪器最广泛的影响应该是显而易见的，工程师和科学家使用ScOPE来加强合作和分析学科的发现和进步。域的司机吗?为了这个项目。这些项目包括由海洋科学（和海洋观测站）研究人员领导的项目；网络考古学和文化遗产诊断；实时脑成像；数字电影和高质量的数字媒体；综合计算生物学；水下显微镜;分子动力学;结构生物学和计算化学；以及大规模数值模拟。反过来，这些领域专家将与计算机科学家一起工作，他们将解决系统架构，数据传输，安全性，表示，拱，处理多模态分析和人机交互方面的重大挑战。范围?远程呈现将以高达每秒40千兆比特的带宽支持远程协作。因此，该项目创造了一个高度互动的协作空间，配备了自然的人机界面和先进的3D建模和渲染，在足够的规模来处理复杂的实验，并分析大量的视觉和数字数据，涉及广泛的维度和极端的时间尺度现象。已经确定了领域驱动程序，以确保产生的环境和工具适用于广泛的科学学科。这些学科包括地球系统科学、土木和结构工程、机械和航空航天工程、生物医学和电气（以及海洋观测工程）、社会科学和人类学。这个项目在新一代的协作环境中取得了巨大的飞跃，直到最近都是不可想象的。显示能力将不再是被动的；设想的是一个连续的空间工作空间成像，包括眼睛、皮肤反应，甚至是移动脑电图感应，允许ScOPE响应和推断用户意图。环境会被专门设计来处理吗？大数据?采用容错和以云为中心的方法，同时缩小超级计算机闪存架构。吗?大数据。该仪器将使科学发现以及如何最好地处理，分析和可视化的研究成为可能，Scope将成为其他类似仪器的原型。ScOPE支持的研究将对许多科学领域产生影响。更广泛的影响：如前所述，ScOPE仪器为研究人员提供了以前所未有的精度研究模拟和获取数据的能力。ScOPE有望成为培训新一代用户的平台，使他们能够在协作环境中流畅地进行数据分析。开发人员预计，私营部门的合作者，如高通和英特尔，将帮助推广特定组件在全国的使用。S大数据分析基础设施。尽管如此，该仪器最广泛的影响应该是显而易见的，工程师和科学家使用ScOPE来加强合作和分析学科的发现和进步。域的司机吗?为了这个项目。这些项目包括由海洋科学（和海洋观测站）研究人员领导的项目；网络考古学和文化遗产诊断；实时脑成像；数字电影和高质量的数字媒体；综合计算生物学；水下显微镜;分子动力学;结构生物学和计算化学；以及大规模数值模拟。反过来，这些领域专家将与计算机科学家一起工作，他们将解决系统架构，数据传输，安全性，表示，拱，处理多模态分析和人机交互方面的重大挑战。该仪器将对三所大学产生直接影响，而建造该仪器所开发的技术将为全国类似仪器的建造提供参考。为了提高公众对科学研究的认识，我们将邀请公众参观可视化设施，希望鼓励年轻人进入科学和工程领域。公众可进入的范围会对公众产生重大影响？对学术研究的印象。范围?S的能力可能会改变我们与分布式研究团队合作的能力，并直接应用于日常研究。

Proposal #: 13-38192PI(s): Kuester, Falko; DeFanti, Thomas A.; Rosing, Tajana S.; Schulze, Jurgen P.Institution: University of California - San DiegoTitle: MRI/Dev.: Advanced Visualization Instrumentation for the Collaborative Exploration of Big DataProject Proposed:This project, developing a Scalable Omni-Presence Environment (ScOPE), a next generation visualization system for collaborative exploration of large volumes of data, provides an environment for analyzing, processing, and visualizing Big Data resulting from many different areas of science and engineering. The instrument serves as an integrative, virtual metaphor for a combined microscope and telescope, enabling users to explore data from the nano to macro to mega scale. ScOPE provides researchers the ability to study simulated and acquired data at a level of precision previously unmatched. It is expected to become the platform for training a new generation of users to be fluent in data analytics in collaborative environments. Initially, three universities will have direct access to the ScOPE instrument and all its features: U. California-San Diego (UCSD), Jackson State U. (JSU), and U of Texas Medical Branch (UTMB). Nonetheless, following the tradition of the project team (effectively done with earlier generations of visualization technologies (e.g., OptIPortal tile display walls now installed at more than 100 institutions worldwide), the critical components of the infrastructure will be broken such that they may be replicated for use at remote locations by other research or educational institutions. The developers anticipate that private-sector collaborators, such as Qualcomm and Intel, will help popularize use of specific components for the nation?s big-data analytics infrastructure. Notwithstanding, the broadest impact of the instrument should be evident in the discoveries and advances made by engineers and scientist that use ScOPE to enhance collaboration and analysis in the disciplines that have been singled out as ?Domain Drivers? for the project. These include projects led by researchers in ocean sciences (and ocean observatories); cyber-archaeology and cultural heritage diagnostics; real-time brain imaging; digital cinema and very-high quality digital media; integrative computational biology; underwater microscopy; molecular dynamics; structural biology and computational chemistry; and large-scale numerical simulation. In turn, these domain specialists will work alongside computer scientists who will address grand challenges in system architecture, data transport, security, representation, arching, processing multi-modal analytics, and human-computer interaction. ScOPE?s long-distance collaboration will be supported by telepresence at bandwidths ranging up to 40 Gigabits per second. Thus, the project creates a highly interactive collaboration space equipped with a natural human-computer interface and advanced 3D modeling and rendering at a sufficient scale to tackle complex experiments and analyze large amount of visual and numerical data pertaining to phenomena of wide dimensions and extreme time scales. Domain drivers have been identified to ensure that the resulting environment and tools are applicable to a broad array of scientific disciplines. These include earth system sciences, civil and structural engineering, mechanical and aerospace engineering, biomedical and electrical (and ocean observatories engineering, social sciences, and anthropology. This project takes a great leap forward into a new generation of collaborative environment that until recently was unthinkable. The display capabilities will no longer be passive; envisioned is a continuous spatial workspace imaging, including eye, skin response, and even mobile electroencephalography sensing, allowing ScOPE to respond to and infer user intent. The environment will be designed specifically to handle ?big data,? using a failure-tolerant and cloud-centric approach while also downsizing the supercomputer flash memory architecture. ?Big Data.? The instrument will enable scientific discoveries as well as research on how best to process, analyze, and visualize Scope will serve as a prototype for other similar instruments. The research enabled by ScOPE will have impacts in many areas of science.Broader Impacts: As previously mentioned, the ScOPE instrument provides researchers the ability to study simulated and acquired data at a level of precision previously unmatched. ScOPE is expected to become the platform for training a new generation of users to be fluent in data analytics in collaborative environments. The developers anticipate that private-sector collaborators, such as Qualcomm and Intel, will help popularize the use of specific components for the nation?s big-data analytics infrastructure. Notwithstanding, the broadest impact of the instrument should be evident in the discoveries and advances made by engineers and scientist that use ScOPE to enhance collaboration and analysis in the disciplines that have been singled out as ?Domain Drivers? for the project. These include projects led by researchers in ocean sciences (and ocean observatories); cyber-archaeology and cultural heritage diagnostics; real-time brain imaging; digital cinema and very-high quality digital media; integrative computational biology; underwater microscopy; molecular dynamics; structural biology and computational chemistry; and large-scale numerical simulation. In turn, these domain specialists will work alongside computer scientists who will address grand challenges in system architecture, data transport, security, representation, arching, processing multi-modal analytics, and human-computer interaction. The instrument will have direct impact on three universities, while the technology developed in building the instrument will inform the construction of similar instruments around the nation. To promote greater public appreciation of scientific research, the public will be invited to tour the visualization facilities, hopefully encouraging young people to enter career in science and engineering. The area of ScOPE accessible to the public will have significant impact on the public?s impression of academic research. ScOPE?s capabilities are likely to transform our ability to collaborate with distributed research teams and be directly applied to day-to-day research.