Undergraduate Training at NSF Teragrid XD RDAV Center

随着科学家继续从实验、传感器和模拟中产生数据，下一个挑战是分析和可视化结果。解决这个问题不仅仅是技术问题，也不仅仅是部署更大的计算机和数据存储设备的问题;（未来）科学家需要发展技能，以有效地利用最新的资源来推进科学发现。远程数据分析和可视化中心（RDAV）通过为本科生开发和提供强大的学习机会，能够很好地解决劳动力发展中的基本问题。 RDAV的学生致力于开发软件，以解决科学和工程中活跃项目产生的计算问题，并由研究人员提出，这些研究人员在RDAV上分配了计算时间。鹦鹉螺硬件。这些硬件和软件资源的经验是每个，单独的，不寻常的技能，本科生很少遇到;组合是非常罕见的。这些项目整合了使用高性能计算硬件以及科学领域使用的专业软件工具的经验。学生获得计算科学的重要应用技能。

As scientists continue to produce data from experiments, sensors, and simulations, the nextchallenge is in analyzing and visualizing the results. Addressing this issue is not just aproblem of technology nor of simply deploying larger computers and data storage devices; (future)scientists need to develop the skills to effectively take advantage of the latest resourcesfor advancing scientific discoveries.The Remote Data Analysis and Visualization Center (RDAV) is well-situated to addressessential issues in workforce development by developing and providing a robust learning opportunity for undergraduate students. RDAV students work on developing software to address computational problems stemming from active projects in science and engineering and proposed by researchers who have been allocated computation time on RDAV?s Nautilus hardware. Experience with these hardware and software resources are each, separately, uncommon skills that undergraduates seldom encounter; the combination is extremely rare. These projects integrate experience working with high performance computing hardware as well as the specialized software tools used in scientific domains. Students gain important applicable skills in computational science.