Data-flow analysis is an integral part of any aggressive optimizing compiler. We propose a framework for improving the precision of data-flow analysis in the presence of complex c...
As technology scales and frequency increases, a new design style is emerging, referred to as hybrid designs, which contain a mixture of random logic and datapath standard cell com...
Samuel I. Ward, Myung-Chul Kim, Natarajan Viswanat...
For their scalability needs, data-intensive Web applications can use a Database Scalability Service (DBSS), which caches applications' query results and answers queries on th...
Amit Manjhi, Phillip B. Gibbons, Anastassia Ailama...
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Availability prediction in a telecommunication system plays a crucial role in its management, either by alerting the operator to potential failures or by proactively initiating pr...