SCoReViS: Scalable Collaborative and Remote Visualization Software

SCoReViS：可扩展的协作和远程可视化软件pi: Kelly Gaither，德克萨斯大学奥斯汀分校这个项目解决了高端计算科学中最常见、最严重的瓶颈：由于本地系统的限制和有限的网络带宽，用户无法实时分析他们的数据，无法支持大量数据集的传输。该项目将把数据分析和可视化能力与HPC建模和仿真能力相结合，以实现新型交互，增加发现的可能性。挑战：科学可视化是基于仿真研究的基础数据分析技术。通过2-D和3-D图像，科学可视化帮助科学家探索、理解和交流数据，无论是飓风建模、追踪心脏动脉血液流动，还是探索超大质量黑洞。然而，高性能计算（HPC）系统的能力远远超过了用户对其生成的数据进行有效可视化的能力。随着千万亿次浮点运算系统产生空前规模的模拟输出，将这些庞大的数据集通过网络转移到可视化系统并使用专用的可视化系统与它们交互变得越来越不可行。为了充分实现这些昂贵的万亿级和千万亿级系统的科学影响，我们需要提高高端用户的可视化能力。与HPC一样，这需要可扩展的可视化工具来聚合许多计算节点的功能，同时在靠近源的地方呈现数据，以消除昂贵的网络传输。这就需要这些大规模可视化系统的远程可视化接口，使远程用户能够与他们的数据进行交互。解决方案：可扩展协作和远程可视化软件（SCoReViS）的开发是对大规模HPC平台和专用图形集群对下一代可视化工具需求的直接回应。SCoReViS将：o利用万亿级和千万亿级HPC和基于gpu的大型图形集群的计算能力，从最大的可用平台无缝扩展到部署在科学家当地机构的较小系统；o通过提供对可视化工具的远程和协作访问，使大型系统的投资最大化，使任何具有合理高带宽网络连接（例如消费者宽带服务）的研究人员都可以使用这些工具。o通过支持基于标准OpenGL API的任何软件来提供通用的可视化功能，从而支持最流行的可视化应用程序；ando为从事最大规模计算的科学家创建一个工具平台，并促进工具的开发，以解决与大型时间相关的数据集相关的问题。关键组件将被组装、优化、打包和支持，以在千万亿级高性能计算和图形集群上提供高性能、可扩展的远程/协作可视化。影响：这个项目的潜在影响是不可估量的。由此产生的软件将通过开源许可提供，允许任何访问TeraGrid的人使用，包括不同的科学学科。SCoReViS提供的远程和协作可视化功能将允许更广泛的研究人员访问，提高高性能计算（HPC）的能力，以解决我们面临的最大问题。

SCoReViS: Scalable Collaborative and Remote Visualization SoftwarePI: Kelly Gaither, University of Texas at AustinThis project addresses what is fast becoming the most common, most severe bottleneck in high-end computational science: the inability of users to analyze their data in real time because of the limitations of their local systems and limited network bandwidth that cannot support transfer of tremendous data sets. The project will bring data analysis and visualization capability in line with HPC modeling and simulation capability to enable new kinds of interaction, increasing the likelihood of discovery. The Challenge: Scientific visualization is a fundamental data analysis technique for simulation-based research. Through 2-D and 3-D images, scientific visualization helps scientists explore, make sense of, and communicate data, whether it is modeling a hurricane, tracing the arterial blood flow of a heart, or exploring a super massive black hole. However, high performance computing (HPC) systems capabilities are racing far ahead of users' ability to effectively visualize the data they produce. As petaflop systems produce simulation output of unprecedented scale, it is becoming unfeasible to move these enormous data sets over networks to visualization systems and to use special-purpose visualization systems to interact with them. To fully achieve the scientific impact of these costly tera-and petascale systems, we need to improve the visualization capabilities for high end users. As with HPC, this requires scalable visualization tools that aggregate the capabilities of many compute nodes, while rendering the data close to the source to eliminate costly network transfers. This requires remote visualization interfaces to these large-scale visualization systems, enabling remote users to work interactively with their data.The Solution: The development of the Scalable Collaborative and Remote Visualization Software (SCoReViS) is a direct response to the need for next-generation visualization tools for large-scale HPC platforms and dedicated graphics clusters. SCoReViS will:o Leverage the computational power of tera- and petascale HPC and large GPU-based graphics clusters, and scale seamlessly from the largest available platforms down to smaller systems deployed at scientists' local institutions;o Maximize the investments in large-scale systems by providing remote and collaborative access to visualization tools, making them available and effective for any researcher with a reasonably high-bandwidth network connection (e.g. consumer broadband service); o Provide general purpose visualization capabilities by supporting any software based on the standard OpenGL API, thus enabling most popular visualization applications; ando Create a platform of tools for scientists who compute at the largest scale and to promote the development of tools to address issues associated with large, time-dependent data sets. The key components will be assembled, optimized, packaged and supported to provide high performance, scalable remote/collaborative visualization on petascale HPC and graphics clusters.Impact: The potential impact of this project is immeasurable. The resulting software will be made available via open source licensing, enabling use by anyone with access to the TeraGrid, including diverse scientific disciplines. The remote and collaborative visualization capabilities enabled by SCoReViS will allow access by a broader community of researchers, increasing the ability of high performance computing (HPC) to address the largest problems facing us.