@inproceedings{377cfdc4c4d64d46a5185ae3993b5849,
title = "A Novel Hybrid Transactional Memory Based on Abort Prediction and Adaptive Retry Policy",
abstract = "This paper proposes a novel hybrid transactional memory scheme based on both abort prediction and an adaptive retry policy. First, the proposed scheme can predict not only conflicts between transactions running concurrently, but also the capacity and other aborts of transactions by collecting the information of previously executed transactions. Second, the proposed scheme can provide an adaptive retry policy based on machine learning algorithms, according to the characteristic of a given workload. Finally, through our experimental performance analysis using STAMP, the proposed scheme shows about 20\% better performance than Hybrid NOrec, a hybrid version of the efficient NOrec STM.",
keywords = "Concurrency control, HTM, Multi-core in-memory database, STM, Transactional memory",
author = "Shin, \{Young Sung\} and Jang, \{Yeon Woo\} and Kang, \{Moon Hwan\} and Chang, \{Jae Woo\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017 ; Conference date: 05-09-2017 Through 08-09-2017",
year = "2017",
month = sep,
day = "22",
doi = "10.1109/CLUSTER.2017.41",
language = "English",
series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "613--614",
booktitle = "Proceedings - 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017",
}