Adaptive Hardware Systems with Novel Algorithmic Design and Guaranteed Resource Bounds

信号和图像的数字处理经常在许多商业电子设备中进行，包括计算机网络、移动电话和计算机视觉系统。移动电话等设备对高功能和可靠性的需求稳步增长，这意味着需要使用许多不同类型的计算机处理器，从个人计算机中的通用处理器到设计用于执行非常特定任务的计算机芯片。然而，目前还没有一种有效的设计技术，可以让一系列不同的计算机处理器组成复杂的设备。这意味着当前的设计在功率使用和响应性方面往往效率低下。因此，长期利用信号和图像处理技术的一个关键要求在于开发高性能所需的日益复杂的处理器。本项目解决了这一需求。它代表了电子工程师和计算机科学家之间丰富的跨学科合作，共同致力于克服高性能计算应用中的基本挑战。提议的研究建立在最近世界领先的信号和图像处理方法，评估计算机软件性能和复杂性的技术，以及复杂处理器设计技术的基础上。这项研究的成功结果将允许复杂信号处理算法的新的和有效的实现，以支持各种各样的应用。

Digital processing of signals and images are frequently performed in many commercial electronic devices, including computer networks, mobile telephones and computer vision systems. A steady growth in demand for high functionality and reliability in devices such as mobile phones means that many different types of computer processors are used, from general purpose processors found in personal computers to computer chips designed to perform very specific tasks. However, at present there are no efficient design techniques that allow complex devices to be built up from a range of different computer processors. This means that current designs are often inefficient in terms of power usage and their responsiveness. Thus, a key requirement for the long-term exploitation of signal and image processing technologies lies in developing the increasingly complex processors that are required for high performance.This project addresses this need. It represents a rich inter-disciplinary collaboration between electronic engineers and computer scientists collectively aimed at overcoming fundamental challenges in high-performance computing applications. The proposed research builds on recent world-leading work in signal and image processing methods, techniques to assess the performance and complexity of computer software, and complex processor design techniques. A successful outcome to this research will allow new and efficient implementations of complex signal processing algorithms to support a diverse range of applications.