An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
We present a unified approach to locality optimization that employs both data and control transformations. Data transformations include changing the array layout in memory. Contr...
HECATAEUS is an open-source software tool for enabling impact prediction, what-if analysis, and regulation of relational database schema evolution. We follow a graph theoretic appr...
George Papastefanatos, Panos Vassiliadis, Alkis Si...
Today's processors provide a rich source of statistical information on application execution through hardware counters. In this paper, we explore the utilization of these sta...
Kai Shen, Ming Zhong, Sandhya Dwarkadas, Chuanpeng...