The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) awards outstanding scientific contributions and presentations. The papers, posters and demos are selected by their respective committees as best-of-class and deserving of awards, with additional mentions to finalists. Criteria considered in these selections include: novelty, impact, presentation and response to questions. The previous awardees are mentioned here.
Best Paper Awards
- 2017: “Victream: Computing Framework for Out-of-Core Processing on Multiple GPUs” by Jun Suzuki, Yuki Hayashi, Masaki Kan, Shinya Miyakawa, Takashi Takenaka, Takuya Araki, Masaru Kitsuregawa
Best Student Paper Awards
- 2017: “Characterizing Time Series Data Diversity for Wind Forecasting” by Cong Feng, Erol Kevin Chartan, Bri-Mathias Hodge, Jie Zhang
Best Poster Awards
(Note: Since 2017 these awards have been applying to both UCC and BDCAT based on joint poster sessions.)
- 2017: “Case Study: Clustering Big Stellar Data with EM*" By Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic
Best Student Poster Awards
(Note: Since 2017 these awards have been applying to both UCC and BDCAT based on joint poster sessions.)
- 2017: "Benchmarking Automated Hardware Management Technologies for Modern Data Centers and Cloud Environments" by Elham Hojati, Yong Chen, Alan Sill