Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
This paper describes a new model for constructing distributed systems called the Remote Memory Model. The remote memory model consists of several client machines, one or more dedi...
Tuning parallel code can be a time-consuming and difficult task. We present our approach to automate the performance analysis of OpenMP applications that is based on the notion of ...
Abstract. Partitioned Global Address Space (PGAS) languages offer an attractive, high-productivity programming model for programming large-scale parallel machines. PGAS languages, ...
Christopher Barton, Calin Cascaval, George Alm&aac...
The content-based publish/subscribe model has been adopted by many services to deliver data between distributed users based on application-specific semantics. Two key issues in su...
Chi Zhang, Arvind Krishnamurthy, Randolph Y. Wang,...