Instruction fetch bandwidth is feared to be a major limiting factor to the performance of future wide-issue aggressive superscalars. In this paper, we focus on Database applicatio...
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
With the increased use of network enabled applications and server hosted software systems, scalability with respect to network connectivity is becoming an increasingly important s...
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...