@inproceedings{b5235feb16aa437bbdc1c1873c70e12e,
title = "Conflict prediction-based transaction execution for transactional memory in multi-core in-memory databases",
abstract = "This paper proposed a novel hybrid transactional memory(HyTM) that exploits the benefits of both Haswell's RTM(restricted transactional memory) and software transactional memory(STM). Unlike the existing HyTMs, the proposed HyTM can predict and resolve conflicts between transaction running concurrently by using a prediction matrix and transaction metadata. Also the proposed HyTM can provide the optimal HTM configuration for a given workload by computing the optimal retry threshold based on deep learning algorithms.",
keywords = "Concurrency control, HTM, In-memory database, Multi-core, STM, Transactional memory",
author = "Min Yoon and Kang, \{Moon Hwan\} and Jang, \{Yeon Woo\} and Chang, \{Jae Woo\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 ; Conference date: 13-09-2016 Through 15-09-2016",
year = "2016",
month = dec,
day = "6",
doi = "10.1109/CLUSTER.2016.79",
language = "English",
series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "148--149",
booktitle = "Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016",
}