Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance

Peter W. J. Staar, Panagiotis Kl. Barkoutsos, Roxana Istrate, A. Cristiano I. Malossi, Ivano Tavernelli, Nikolaj Moll, Heiner Giefers, Christoph Hagleitner, Costas Bekas, Alessandro Curioni. Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance. In 2016 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2016, Chicago, IL, USA, May 23-27, 2016. pages 812-821, IEEE Computer Society, 2016. [doi]

@inproceedings{StaarBIMTMGHBC16,
  title = {Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance},
  author = {Peter W. J. Staar and Panagiotis Kl. Barkoutsos and Roxana Istrate and A. Cristiano I. Malossi and Ivano Tavernelli and Nikolaj Moll and Heiner Giefers and Christoph Hagleitner and Costas Bekas and Alessandro Curioni},
  year = {2016},
  doi = {10.1109/IPDPS.2016.34},
  url = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2016.34},
  researchr = {https://researchr.org/publication/StaarBIMTMGHBC16},
  cites = {0},
  citedby = {0},
  pages = {812-821},
  booktitle = {2016 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2016, Chicago, IL, USA, May 23-27, 2016},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5090-2140-6},
}