Efficiency Analysis for AI Applications in HPC Systems. Case Study: K-Means

Jose Rivas, Alvaro Wong, Remo Suppi, Emilio Luque, Dolores Rexachs. Efficiency Analysis for AI Applications in HPC Systems. Case Study: K-Means. In Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II. Volume 14074 of Lecture Notes in Computer Science, pages 373-380, Springer, 2023. [doi]

@inproceedings{RivasWSLR23,
  title = {Efficiency Analysis for AI Applications in HPC Systems. Case Study: K-Means},
  author = {Jose Rivas and Alvaro Wong and Remo Suppi and Emilio Luque and Dolores Rexachs},
  year = {2023},
  doi = {10.1007/978-3-031-36021-3_39},
  url = {https://doi.org/10.1007/978-3-031-36021-3_39},
  researchr = {https://researchr.org/publication/RivasWSLR23},
  cites = {0},
  citedby = {0},
  pages = {373-380},
  booktitle = {Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II},
  editor = {Jirí Mikyska and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
  volume = {14074},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-36021-3},
}