CISE Instrumentation: Acquisition of a Multidisciplinary Research in Computing

9729809富兰克林，马诺杰克莱姆森大学 CISE研究仪器：收购多处理器用于计算领域的多学科研究 这项研究仪器奖用于获得多处理器系统，这将使以下研究项目：-指令级并行处理器，-自动生成共享内存计算机的基准， - 结构声学中的有限元计算，磁轴承非线性控制器的性能验证，以及耦合流体-结构系统的非线性振动。 这些项目中的每一个都涉及大型模拟器的开发和计算密集型模拟的使用，这些模拟需要强大的专用处理器、大RAM容量和大I/O容量。ILP处理的研究涉及开发分散的执行模型，并通过详细的并行模拟器对其进行研究。自动基准生成的研究涉及开发技术，自动生成多处理器的基准程序，从简洁的算法规范，这有助于确定最高性能的算法在单个系统的基础上。有限元计算研究通过开发和实施高阶时空有限元方法以及在多处理器上模拟它们的适当数据结构来预测大型结构的波传播。 非线性控制器的研究涉及主动磁轴承的改进的非线性动态模型的发展，并通过多处理器上的动态仿真验证。非线性振动的研究重点是使用多处理器开发模型和计算密集型技术，以解决纺织品和高性能水下电缆结构应用中使用的复杂，非线性，流体结构系统的平衡和线性化振动。

9729809 Franklin, Manoj Clemson University CISE Research Instrumentation: Acquisition of a Multiprocessor for Multidisciplinary Research in Computing This research instrumentation award serves to acquire a multiprocessor system which will enable the following research projects:- Instruction-Level Parallel Processors,- Automatic Generation of Benchmarks for Shared Memory Computers, - Finite Element Computations in Structural Acoustics,- Performance Validation of Nonlinear Controllers for Magnetic Bearings, and - Nonlinear Vibrations of Coupled Fluid-Structure Systems. Each of these projects involves the development of large simulators and the use of compute-intensive simulations that require powerful dedicated processors, large RAM capacity, and large I/O capacity. Research in ILP processing involves developing decentralized execution models and studying them by detailed, parallel simulators. Research in automatic benchmark generation involves developing techniques to automatically generate multiprocessor benchmark programs from concise algorithm specifications, which aids in identifying the top-performing algorithm on an individual system basis. Research on finite element computations deals with predicting wave propagation from large structures by developing and implementing high-order space-time finite element methods and appropriate data structures for simulating them on multiprocessors. Research on nonlinear controllers involves the development of improved nonlinear dynamic models for active magnetic bearing, and their validation via dynamic simulation on multiprocessors. Research on nonlinear vibrations focuses on using multiprocessors to develop models and computationally intensive techniques to solve the equilibrium and linearized vibration of complex, nonlinear, fluid-structure systems used in textiles and high performance underwater cable structures applications.