Integrating High Performance Computing in Research and Education for Simulation, Visualization and Real-Time Prediction

该奖项是根据2009年美国复苏和再投资法案资助的德克萨斯大学圣安东尼奥分校（UTSA）将创建模拟、可视化和实时预测中心（SiViRT中心）整合UTSA工程和科学学院的基于模拟的研究活动，提供计算基础设施和智力领导力，在计算相关的研究和教育中开发优秀的跨学科项目，并在UTSA内发展合作关系，德克萨斯大学健康科学中心（UTHSCSA）和其他地区，国家和国际机构。 SiViRT中心还将吸引少数民族本科生和研究生从事工程和科学职业，增强UTSA的多样性，提高代表性不足的少数民族学生的保留率，并为下一代科学家和工程师做好准备，以应对使用可靠，高性能计算系统和模拟解决科学和工程问题的挑战。SiViRT中心将包括成像、实时预测和不确定性量化领域的三个相互作用和相互依赖的研究团队。成像团队将负责创建新的理论以及成像过程，高保真滤波和图像融合的有效方法和程序，用于实时模拟和控制过程。 实时预测团队将建立一个实时控制和预测的通用框架，并将其应用于癌症治疗建模、手术控制、神经生物反应模拟和智能无人驾驶车辆。 不确定性量化团队将创建一个通用的框架，用于在不同的工程系统中进行不确定性量化，并将在工程领域中寻求该框架的应用，例如：骨折力学;纳米流体的传热;以及纳米颗粒的命运和运输。这三个团队是互补的，并支持SiViRT中心的愿景：在研究的前沿，并显着提高研究和教育在UTSA的整合。基础科学和工程研究的多学科努力将通过汇集工程，科学，统计，生物学和医学等学科的专家来实现显着的技术发展和知识的重大创造。该中心的教育计划将成为吸引高中生谁将遵循科学和工程职业的焦点;将提供鼓励和激励本科生追求研究;并将吸引，鼓励，支持，建议，指导和协助博士生的安置，谁将成为下一代的研究人员和大学教育工作者。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The University of Texas at San Antonio (UTSA) will create the Center on Simulation, Visualization and Real-Time Prediction (SiViRT Center) to integrate the simulation-based research activities in the Colleges of Engineering and Sciences at UTSA, provide computational infrastructure and intellectual leadership for developing outstanding interdisciplinary programs in computationally related research and education, and develop collaborative relations within UTSA, the University of Texas Health Science Center (UTHSCSA) and other regional, national, and international institutions. The SiViRT Center will also attract minority undergraduate and graduate students to engineering and science careers, enhance diversity in UTSA, improve the retention of under-represented minority students and prepare the next generation of scientists and engineers to meet the challenges of solving scientific and engineering problems using reliable, high-performance computational systems and simulations. The SiViRT Center will include three interacting and interdependent research teams in the areas of imaging, real-time prediction and uncertainty quantification. The imaging team will be responsible for the creation of new theory as well as efficient methods and procedures for imaging processes, high fidelity filtering, and image fusion to be used in real-time simulations and control processes. The real-time prediction team will establish a general framework for real-time control and prediction with applications in cancer treatment modeling, surgical control, neuro-biological response simulation and intelligent unmanned vehicles. The uncertainty quantification team will create a general framework for uncertainty quantification in diverse engineering systems and applications of this framework will be sought in engineering fields such as: mechanics of bone fracture; heat transfer with nanofluids; and fate and transport of nanoparticles. The three teams are complementary and support the vision of the SiViRT Center: to be in the forefront of research and to significantly enhance the integration of research and education at UTSA. The multidisciplinary effort on fundamental scientific and engineering research will result in noteworthy technological developments and significant creation of knowledge by bringing together experts from the disciplines of Engineering, Science, Statistics, Biology and Medicine. The Center's educational programs will become the focus of attraction for high school students who will follow science and engineering careers; will provide encouragement and incentives for undergraduate students to pursue research; and will attract, encourage, support, advise, mentor and assist in the placement of doctoral students, who will become the next generation of researchers and university educators.