CISE Research Instrumentation

将购买一个致力于支持计算机科学研究的大规模并行计算系统。 该设备将用于多个研究项目，特别包括：采用快速傅里叶变换算法进行非交换群和齐次空间以及小波和其他相空间技术的信号处理和数据分析。 并行实现的实验是这项工作的一个重要的新方向。 这项工作正在催生医学成像领域的应用。 为大规模并行计算机上的多处理器文件系统构建原型检查点系统，并在接口、缓存和预取、工作负载研究以及远程异构文件系统访问方面进行后续研究。 开发用于数据并行计算的虚拟内存及其在科学计算中的应用。 图像处理中的应用涉及正在进行的人脑标记、化石叶子分类、笔迹分析和视觉注意力模拟等项目。 PRAM 算法的实现旨在消除大规模并行同步计算机上实现中对内存的并发引用，使用的技术取自当前研究人员在 PRAM 模型新算法中的工作。

A massively parallel computing system which will be dedicated to support research in computer science will be purchased. The equipment will be used for several research projects including in particular: Signal processing and data analysis employing fast Fourier transform algorithms for non-abelian groups and homogeneous spaces and wavelet and other phase space techniques. Experimentation with parallel implementation is an important new direction for this work. Applications in medical imaging are emerging from this effort. Building a prototype checkpointing system for multiprocessor file systems on massively parallel computers, with follow-on-research in interfaces, caching and prefetching, workload studies, and remote heterogeneous file system access. Development of virtual memory for data-parallel computing with applications in scientific computing. Applications in image processing involving ongoing projects in human brain labeling, fossil leaf classification, handwriting analysis, and simulation of visual attention. Implementation of PRAM algorithms aimed at elimination of concurrent references to memory in implementations on a massively parallel synchronous computer, using techniques taken from work of the current researchers in new algorithms for the PRAM model.