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, ...

In parallel database system, a good data placement could improve execution efficiency of multi-join queries greatly. The bandwidth of network communication is always the bottleneck of parallel ...

Frank McQuillan from Pivotal gave this talk at FOSDEM 2020. "In this session we will present an efficient way to train many deep learning model configurations at the same time with Greenplum, a free ...

This paper presents a grid frame composed of a preprocessing database server and PC nodes. It divides the whole database into different parts for different PC nodes, where the corresponding data are ...

This project demonstrates the use of OpenMP for achieving both data parallelism and task parallelism in a database-like operation involving employee records and their performance metrics. The solution ...

A startup named TigerGraph emerged from stealth today with a new native parallel graph database that its founder thinks can shake up the analytics market.

Parallel Programming (Section 4). Motivated by our studies of large-scale data-intensive programs, we have developed evaluation strategies, a new programming abstraction that cleanly separates code ...

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