Scientific Computing Research Environments for the Mathematical Sciences (SCREMS)

加州大学圣迭戈分校数学系的科学计算小组将购买一台基于16处理器MPI的并行计算机和四台基于Linux的图形工作站，以实现可视化。这些设备将专门用于支持数学科学的研究。该设备将用于几个研究项目，包括并行自适应多层有限元方法，具有偏微分方程约束的最优控制的并行算法，并行水平集算法的开发，以及在生物化学和物理中的应用。在这种计算设备的支持下，我们的研究计划将在科学计算的不同方面集成的环境中为研究生和博士后提供广泛的教育经验。这造就了不仅是自己研究领域的专家，而且能够跨越学科界限进行交流的科学家。作为这项提议的一部分，圣地亚哥超级计算机中心(SDSC)将提供光纤基础设施，将这台16处理器的并行计算机连接到SDSC的一个类似的大型集群。耦合的集群将用于需要大量资源的大型生产计算，单个Scicomp集群将用于并行算法开发和较小的生产计算。通过光纤连接到SDSC的Scicomp卫星将补充最近由校园生物化学小组和加州大学圣地亚哥分校医学院建造的类似计算卫星。

The Scientific Computation Group (Scicomp) in the Mathematics Department at UCSD will purchase a 16-processor MPI-based parallel computer and four Linux-based graphics workstations for visualization. The equipment will be dedicated to the support of research in the mathematical sciences. The equipment will be used for several research projects, including parallel adaptive multilevel finite element methods, parallel algorithms for optimal control with PDE constraints, parallel level set algorithm development, and applications in biochemistry and physics. Supported by this computing equipment, our research program will provide graduate students and postdocs a broad educational experience in an environment in which different aspects of scientific computation are integrated. This produces scientists who are not only expert in their own area of study, but are also able to communicate across disciplinary boundaries. As part of this proposal, SDSC (San Diego Supercomputer Center) will provide fiber-optic infrastructure to connect the 16-processor parallel computer to a similar large cluster located at SDSC. The coupled clusters will be used in large production calculations requiring substantial resources, and the individual Scicomp cluster will be used for parallel algorithm development and for smaller production calculations. The Scicomp satellite with fiber link to SDSC will complement similar computational satellites recently constructed by the biochemistry group on campus and by the UCSD Medical School.