ViDaR: R-enabled large-scale data analytics in ViDa

Project Information

ViDaR

Grant agreement ID: 768910

DOI 10.3030/768910

Project closed

EC signature date 3 November 2017

Start date 1 January 2018

End date 30 June 2019

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 150 000,00

EU contribution € 150 000,00

Coordinated by

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland

Publications

Conference proceedings (4)

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

Author(s): Periklis Chrysogelos, Panagiotis Sioulas, Anastasia Ailamaki
Published in: 2019
Publisher: 9th Biennial Conference on Innovative Data Systems Research

Hardware-conscious Hash-Joins on GPUs

Author(s): Panagiotis Sioulas, Periklis Chrysogelos, Manolis Karpathiotakis, Raja Appuswamy, Anastasia Ailamaki
Published in: 2019
Publisher: IEEE International Conference on Data Engineering

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines.

Author(s): Periklis Chrysogelos, Manolis Karpathiotakis, Raja Appuswamy, Anastasia Ailamaki
Published in: 2019
Publisher: 45th International Conference on Very Large Data Bases

(under submission) GPU-accelerated data management under the test of time

Author(s): Aunn Raza, Periklis Chrysogelos, Panagiotis Sioulas, Vladimir Indjic, Angelos Anadiotis; Anastasia Ailamaki
Published in: 2019
Publisher: 10th Biennial Conference on Innovative Data Systems Research