Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multidisciplinary expertise and large-scale computational experiments. The...
Chee Sun Liew, Malcolm P. Atkinson, Jano I. van He...
There has been considerable recent interest in the support of transactional memory (TM) in both hardware and software. We present an intermediate approach, in which hardware is us...
Arrvindh Shriraman, Michael F. Spear, Hemayet Hoss...
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...
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
Online transaction processing (OLTP) is a multibillion dollar industry with high-end database servers employing state-of-the-art processors to maximize performance. Unfortunately,...