The execution of a query in a parallel database machine can be controlled in either a control flow way, or in a data flow way. In the former case a single system node controls the entire query ...

This project demonstrates the use of OpenMP to efficiently perform parallel data processing on employee records using data, task, and architecture parallelism. The use of multi-threading significantly ...

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Summary form only given. Parallel database systems are capable of providing significant performance gains in terms of transaction processing rates. These gains are realized by running many ...

This monograph covers the design principles and core features of systems for analyzing very large datasets using massively-parallel computation and storage techniques on large clusters of nodes. We ...

Parallel database machine architectures have evolved from the use of exotic hardware to a software parallel dataflow architecture based on conventional shared-nothing hardware. These new designs ...

At the crux of many an enterprise-scale big data system stands either MapReduce or a parallel database management system. But which is more efficient? Researchers from Dublin Institute of Technology, ...

TigerGraph’s native parallel graph architecture and real-time deep link analytics aim to provide the following advantages: ...