SCREMS: Scientific Computing Research Environments for the Mathematical Sciences

该奖项将提供资金，以数学系在威斯康星州麦迪逊与数学教师在UW欧克莱尔，UW白水和麦迪逊地区技术学院（MATC）合作，以实现高性能计算环境的跨学科研究在数学科学及其应用的网络生物和基础医学科学。该学术网络将与美国领先的工业合作伙伴（SUN Grid Network.com、nVIDIA和PBC Linear automation technologies）密切合作，提供一种新的方法，使威斯康星州的学生和教师能够更广泛地参与推进基于分布式大规模并行GPU计算的应用，沿着麦迪逊研究小组在计算机科学、遗传学和数学方面的研究。应用拓扑学精确确定大蛋白质的结构，流体动力学中的拓扑方法，数学建模和计算确定植物根系发育中基因的功能。此外，新的算法将使研究人员能够克服目前的障碍，可视化和分析非常高维的海量数据集，这是21世纪世纪生物技术在农学，药物发现和系统生物学的标志。

This award will provide funds to the Department of Mathematics at University of Wisconsin Madison in collaboration with mathematics faculty at UW Eau Claire, UW Whitewater and the Madison Area Technical College (MATC) to implement a network of high performance computing environment for interdisciplinary research in the mathematical sciences and its applications to biological and basic medical sciences. This academic network will collaborate closely with pioneering American industrial partners (SUN Grid Network.com, nVIDIA and PBC Linear automation technologies) to provide a novel approach that enables a broader participation of students and faculty from the State of Wisconsin in advancing applications of distributed massively parallel GPU-based computation along with the Madison research groups in the computer sciences, genetics and mathematics.The project outcomes include: applications of topology to accurately determine structure of large proteins, topological methods in fluid dynamics, mathematical modeling and computations to determine functions of genes in development of plant root systems. Further, novel algorithms will enable researchers to overcome current obstacles for visualization and analysis of very high dimensional massive data sets that are the hallmarks of the 21st century biotechnology in agronomy, drug discovery, and systems biology.