Abstract
Next-generation scientific instruments are forcing researchers to question the limits of massively parallel computing.
- Francesco De Carlo Doga Gürsoy et al., Scientific Data Exchange: A schema for HDF5-based storage of raw and analyzed data. Submitted to J. Synchrotron Radiation.Google Scholar
- Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. Non-negative matrix analysis for effective feature extraction in X-ray spectromicroscopy. Submitted to the Royal Society of Chemistry for a Faraday Discussion meeting. DOI: 10.1039/c000000x.Google Scholar
- Michael Stonebraker, Paul Brown, Donghui Zhang and Jacek Becla. SciDB: A database management system for applications with complex analytics. Computing in Science & Engineering, 15, 54-62 (2013), DOI:http://dx.doi.org/10.1109/MCSE.2013.19. Google ScholarDigital Library
Index Terms
- Big data meets big science
Recommendations
Where big data meets 5G?
ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud ComputingDue to massive increase in data collection from wireless devices, wireless sensor networks, and network operators, data processing has become a challenge. The massive data can broadly be categorized into raw data and right data. Future generation ...
Comments