Bigelow Laboratory Marine Biological and Oceanographic Computational Resources

毕格罗海洋科学实验室获得一笔赠款，将在其位于缅因州东布斯贝的新海洋科学和教育校区建立一个集中计算环境。该项目完成后，将提供急需的计算基础设施，并使毕格罗实验室能够在未来十年向可持续、具有成本效益的数据和计算资源管理过渡。新系统将由硬件组成，为机构一级的研究人员提供扩展的并行处理能力、改进的短期存储能力和云备份/归档选项，以及位于毕格罗实验室的国家海洋藻类和微生物群中心(NCMA)的商业运营MVC框架软件。由此产生的计算环境将满足实验室目前的研究需要，并将允许可扩展以满足未来的研究需要。毕格罗实验室支持几项正在进行的教育计划，这些计划需要计算资源才能实现他们的目标：面向高中生的Keller Bloom计划、NSF资助的本科生研究体验(REU)计划、由Bigelow高级研究科学家通过与科尔比学院的学术合作伙伴关系教授的大学级课程、科学教师专业发展研讨会以及Bigelow博士后教育计划。这些举措中的每一项都将极大地受益于增强的计算环境，因为通常很难获得足够的资源，为学生、教育工作者和博士后提供分析他们的数据并在毕格罗度过时间后继续与实验室研究人员合作的能力。这笔资金产生的环境代表着重大的计算扩展，将满足这些教育计划日益增长的需求，并将为Bigelow实验室提供扩大这些计划的教育范围的能力，并使其能够自由开发以高性能计算为中心的未来产品。欲了解更多有关毕格罗实验室的信息，请访问网站：http://www.bigelow.org.。

Bigelow Laboratory for Ocean Sciences is awarded a grant to establish a centralized computational environment at its new Ocean Science and Education Campus in East Boothbay, Maine. Upon completion, this project will provide much needed computational infrastructure and enable Bigelow Laboratory to make a major transition to sustainable, cost-effective management of data and computational resources during the next decade. The new system will be comprised of hardware to provide expanded Parallel Processing Power, improved short-term Storage Capability, and Cloud Backup/Archival options for researchers at the institutional level, and MVC Framework Software for business operations in the National Center for Marine Algae and Microbiota (NCMA) at Bigelow Laboratory. The resulting computational environment will meet the current research needs of the Laboratory, and will allow for scalable expansion to meet future research needs. Bigelow Laboratory supports several ongoing education initiatives that require computing resources to meet their objectives: the Keller BLOOM program for high school students, the NSF-funded Research Experience for Undergraduates (REU) program, college-level courses taught by Bigelow Senior Research Scientists through an academic partnership with Colby College, the Professional Development Workshop for Science Teachers, and the Bigelow Postdoctoral Education Program. Each of these initiatives will greatly benefit from an enhanced computational environment since it is often difficult to procure adequate resources that provide students, educators and postdocs with the ability to analyze their data and continue to collaborate with Laboratory researchers beyond time spent at Bigelow. The environment resulting from this funding represents a significant computational expansion that will meet the growing needs of these educational initiatives and will provide Bigelow Laboratory with the ability to expand the educational scope of these programs and the freedom to develop future offerings centered on high performance computing. For more information about Bigelow Laboratory please visit the website at http://www.bigelow.org.