TTLG - An Efficient Tensor Transposition Library for GPUs

@article{vedurada2018,
  title = {TTLG - An Efficient Tensor Transposition Library for GPUs},
  author = {Jyothi Vedurada and Arjun Suresh and Aravind Sukumaran-Rajam and Jinsung Kim and Changwan Hong and Ajay Panyala and Sriram Krishnamoorthy and V. Krishna Nandivada and Rohit Kumar Srivastava and P. Sadayappan},
  journal = {IPDPS},
  year = {2018},
  month = {Jan},
  doi = {10.1109/ipdps.2018.00067},
  url = {https://doi.org/10.1109/ipdps.2018.00067},
}

Jyothi Vedurada et al. (2018). TTLG - An Efficient Tensor Transposition Library for GPUs. IPDPS. https://doi.org/10.1109/ipdps.2018.00067

Jyothi Vedurada, et al.. "TTLG - An Efficient Tensor Transposition Library for GPUs." IPDPS, 2018, https://doi.org/10.1109/ipdps.2018.00067.

Jyothi Vedurada, et al.. "TTLG - An Efficient Tensor Transposition Library for GPUs." IPDPS (2018). https://doi.org/10.1109/ipdps.2018.00067

Jyothi Vedurada et al., 2018. TTLG - An Efficient Tensor Transposition Library for GPUs. IPDPS. Available at: <https://doi.org/10.1109/ipdps.2018.00067>.

TY  - JOUR
TI  - TTLG - An Efficient Tensor Transposition Library for GPUs
AU  - Jyothi Vedurada
AU  - Arjun Suresh
AU  - Aravind Sukumaran-Rajam
AU  - Jinsung Kim
AU  - Changwan Hong
AU  - Ajay Panyala
AU  - Sriram Krishnamoorthy
AU  - V. Krishna Nandivada
AU  - Rohit Kumar Srivastava
AU  - P. Sadayappan
PY  - 2018
JO  - IPDPS
DO  - 10.1109/ipdps.2018.00067
UR  - https://doi.org/10.1109/ipdps.2018.00067
ER  -