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 processing system has been extensively developed and used in numerous commercial servers for large-scale data analysis. However, the issues of scalability, reliability and efficiency cannot ...

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, ...

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 ...

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

While parallel sorting received significant attention, parallel search has not been explored. With p-ary search we present a novel parallel search algorithm for large-scale database index operations ...

While parallel sorting received significant attention, parallel search has not been explored. With p-ary search we present a novel parallel search algorithm for large-scale database index operations ...