ITR: Adaptive Information Processing through Precomputation

未来的信息家电预计将变得越来越灵活，并在高度波动的工作负载下运行，从而对其能耗、尺寸、成本、性能和服务质量施加严格的设计限制。该项目探索算法和设计自动化技术，用于创建动态调整其操作以适应其工作负载的计算系统，目标是最大化能源效率和资源利用率。在算法领域，研究预测计算方案的设计和分析，这些方案可用于预测未来的计算负载并相应地调整系统资源。在设计自动化领域，该项目关注行为级转换和调度算法，这些算法依赖预计算来生成通用计算的节能硬件或软件实现。

Future information appliances are expected to become increasingly mobile and operate under highly fluctuating workloads, thus imposing stringent design constraints on their energy dissipation, size, cost, performance, and quality of service. This project explores algorithmic and design automatin technologies for creating computing systems that dynamically adapt their operation to their workloads with the objective to maximize thieir energy efficiency and resource utilization. In the area of algorithms, research is conducted on the design and analysis of precomputation schemes that can be used to predict the load of a computation in the future and adapt system resources accordingly. In the area of design automation, the project is concerned with behavioral-level transformations and scheduling algorithms that rely on precomputation to generate energy-efficient hardware or software implementations of general computations.