Jinsu Park, Woongki Baek. Quantifying the Performance and Energy-Efficiency Impact of Hardware Transactional Memory on Scientific Applications on Large-Scale NUMA Systems. In 2018 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2018, Vancouver, BC, Canada, May 21-25, 2018. pages 804-813, IEEE Computer Society, 2018. [doi]
@inproceedings{ParkB18-6,
title = {Quantifying the Performance and Energy-Efficiency Impact of Hardware Transactional Memory on Scientific Applications on Large-Scale NUMA Systems},
author = {Jinsu Park and Woongki Baek},
year = {2018},
doi = {10.1109/IPDPS.2018.00090},
url = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2018.00090},
researchr = {https://researchr.org/publication/ParkB18-6},
cites = {0},
citedby = {0},
pages = {804-813},
booktitle = {2018 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2018, Vancouver, BC, Canada, May 21-25, 2018},
publisher = {IEEE Computer Society},
isbn = {978-1-5386-4368-6},
}