Introduction to Parallel & Vector Solution of Linear Systems
Introduction to Parallel & Vector Solution of Linear Systems
Speedup Versus Efficiency in Parallel Systems
IEEE Transactions on Computers
Analytical profile estimation in database systems
Information Systems
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
New sampling-based summary statistics for improving approximate query answers
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Join synopses for approximate query answering
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Using MPI (2nd ed.): portable parallel programming with the message-passing interface
Using MPI (2nd ed.): portable parallel programming with the message-passing interface
Approximate Query Processing Using Wavelets
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Aggregate-Query Processing in Data Warehousing Environments
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Implementing the MPI process topology mechanism
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
A Conceptual Model and Algebra for On-Line Analytical Processing in Decision Support Databases
Information Systems Research
A Design Study of Alternative Network Topologies for the Beowulf Parallel Workstation
HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
Approaches of quality outputs from the business systems
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
TuG synopses for approximate query answering
ACM Transactions on Database Systems (TODS)
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Business Intelligence systems are based on traditional OLAP, data mining, and approximate query processing. Generally, these activities allow to extract information and knowledge from large volumes of data and to support decisional makers as concerns strategic choices to be taken in order to improve the business processes of the Information System. Among these, only approximate query processing deals with the issue of reducing response time, as it aims to provide fast query answers affected with a tolerable quantity of error. However, this kind of processing needs to pre-compute a synopsis of the data stored in the Data Warehouse. In this paper, a parallel algorithm for the computation of data synopses is presented.