System-level computer architecture simulations create large volumes of simulation data to explore alternative architectural solutions. Interpreting and drawing conclusions from this amount of simulation results can be extremely cumbersome. In other domains that also struggle with interpreting large volumes of data, such as scientific computing, data visualization is an invaluable tool. Such visualization is often domain specific and has not become widely studied and utilized for evaluating the results of computer architecture simulations. In this paper, we describe an interactive visual tool for exploring and g alternative architectural solutions at multiple levels of abstraction. As a proof of concept, we have used this tool to create a coordinated, multipleview visualization for our computer architecture simulation and exploration environment, called Sesame, which aims at system-level performance analysis and design space exploration of multi-core embedded systems. Our results show t...
Toktam Taghavi, Mark Thompson, Andy D. Pimentel