Abstract-- Computer architects must determine how to most effectively use finite computational resources when running simulations to evaluate new architectural ideas. To facilitate...
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
As data centers become more and more central in Internet communications, both research and operations communities have begun to explore how to better design and manage them. In th...
Effective high-level ATPG tools are increasingly needed, as an essential element in the quest for reducing as much as possible the designer work on gate-level descriptions. We pro...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...