Towards High Performance Data Analytic on Heterogeneous Many-core Systems: A Study on Bayesian Sequential Partitioning.

Lai BC, Wu TY, Chiu TH, Li KC, Lee CY, Chien WC, Wong WH

DOI: 10.1016/j.jpdc.2018.07.011
Published: 2018 Dec
Container: Journal of parallel and distributed computing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.jpdc.2018.07.011,
  title = {Towards High Performance Data Analytic on Heterogeneous Many-core Systems: A Study on Bayesian Sequential Partitioning.},
  author = {Lai BC and Wu TY and Chiu TH and Li KC and Lee CY and Chien WC and Wong WH},
  year = {2018},
  journal = {Journal of parallel and distributed computing},
  doi = {10.1016/j.jpdc.2018.07.011},
  url = {https://doi.org/10.1016/j.jpdc.2018.07.011}
}

RIS

TY  - JOUR
TI  - Towards High Performance Data Analytic on Heterogeneous Many-core Systems: A Study on Bayesian Sequential Partitioning.
AU  - Lai BC
AU  - Wu TY
AU  - Chiu TH
AU  - Li KC
AU  - Lee CY
AU  - Chien WC
AU  - Wong WH
PY  - 2018
JO  - Journal of parallel and distributed computing
DO  - 10.1016/j.jpdc.2018.07.011
UR  - https://doi.org/10.1016/j.jpdc.2018.07.011
ER  -

APA

BC, L., TY, W., TH, C., KC, L., CY, L., WC, C., & WH, W. (2018). Towards High Performance Data Analytic on Heterogeneous Many-core Systems: A Study on Bayesian Sequential Partitioning.. Journal of parallel and distributed computing. https://doi.org/10.1016/j.jpdc.2018.07.011

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pubmed · retrieved 2026-09-24T22:53:05.901Z