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, ...

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. With $31 million in venture funding and ...

Abstract: In present scenario parallel database systems are being applicable in a broad range of systems, right from database applications (OLTP) server to decision support systems (OLAP) server.

In this video from FOSDEM 2020, Frank McQuillan from Pivotal presents: Efficient Model Selection for Deep Neural Networks on Massively Parallel Processing Databases. In this session we will present an ...

This project aims to accelerate database query execution using a hybrid parallel approach, combining CPU-based parallelism (OpenMP) and GPU-based acceleration (CUDA). The expected outcome is a ...

Abstract: Hadoop is an efficient and simple parallel framework following the Map Reduce paradigm, and making the parallel processing recently become a hot issue in data-intensive applications. Since ...

Arcology Network is revolutionizing Ethereum Layer 2 solutions with the first-ever EVM-equivalent, multithreaded rollup—offering unparalleled performance and efficiency for developers building the ...