Scientific Computing Research Environments for the Mathematical Sciences (SCREMS) at IIT

伊利诺伊理工学院应用数学系将购买一个由128个处理器组成的高性能计算机集群及其配套软件，用于支持正在进行的大规模并行计算研究项目和教育工作。 该设备将用于应用数学的七个研究项目，这些项目需要密集的计算机模拟。 在数学上，所有项目都与确定性和随机（偏）微分方程的建模，数值分析和模拟有关，涵盖了广泛的应用，包括材料科学，地球科学，金融，生物学，环境流体力学，等离子体物理和软件工程。拟议的计划将提供优秀的培训机会，研究生在并行计算，并为他们提供方便的访问和手-onexperience到高性能计算集群。四门计算数学课程将通过引入并行计算得到加强，这将使不同学科的研究生和本科生受益，包括应用数学，生物医学工程，机械工程，航空航天工程，电气工程，土木工程和计算机科学。 提案中的PI在招募和科学培养女性和代表性不足的少数民族学生方面有着出色的记录，赠款将使他们能够在最先进的科学计算方面培训这些学生。 在技术和社会方面，拟议的集群将为七个研究项目提供支持，这些项目应用于更广泛的相关问题，包括全球气候变化、期权定价、膜基药物输送、环境研究和监测以及大规模计算软件。该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。

The Department of Applied Mathematics at the Illinois Institute of Technologywill purchase a high performance computer cluster of 128 processors withsupporting software, which will be dedicated to the support of ongoing researchprojects and educational efforts in large-scale parallel computing. Theequipment will be used for seven research projects in applied mathematics,which require intensive computer simulations. Mathematically, all projects arerelated to modeling, numerical analysis and simulation of deterministic andstochastic (partial) differential equations, covering a wide range ofapplications that include materials science, geoscience, finance, biology,environmental fluid mechanics, plasma physics and software engineering.The proposed program will provide excellent training opportunities for graduatestudents in parallel computing and offer them easy access and hands-onexperience to a high performance computing cluster. Four courses incomputational mathematics will be enhanced by incorporating parallelcomputation, which will benefit both graduate and undergraduate students fromdifferent disciplines, including Applied Mathematics, Biomedical Engineering,Mechanical Engineering, Aerospace Engineering, Electrical Engineering, CivilEngineering and Computer Science. The PIs in the proposal have outstandingtrack records of recruiting and scientifically nurturing women andunderrepresented minority students and the grant will enable them to trainthese students in state-of-the-art scientific computing. On the technologicaland social aspects, the proposed cluster will provide support for sevenresearch projects that have applications to a broader set of related problemsincluding global climate change, option pricing, membrane-based drug delivery,environmental research and monitoring, and large-scale computing software.This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)