Making architectural decisions based on requirements, analyzing cost-benefit trade-offs, and keeping design options open is a difficult task. Existing work on classification of ar...
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
In this paper we present an approach to the design optimization of faulttolerant embedded systems for safety-critical applications. Processes are statically scheduled and communic...
Viacheslav Izosimov, Paul Pop, Petru Eles, Zebo Pe...
Selecting views to materialize is one of the most important decisions in designing a data warehouse. In this paper, we present a framework for analyzing the issues in selecting vi...
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...