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HyTM-AP Hybrid Transactional Memory Scheme Using Abort Prediction and Adaptive Retry Policy for Multi-Core In-Memory Databases
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Author(s): Hyeong-Jin Kim (Chonbuk National University, South Korea), Hyun-Jo Lee (Chonbuk National University, South Korea), Yong-Ki Kim (Vision College of Jeonju, South Korea)and Jae-Woo Chang (Chonbuk National University, South Korea)
Copyright: 2022
Volume: 33
Issue: 1
Pages: 22
Source title:
Journal of Database Management (JDM)
Editor(s)-in-Chief: Keng Siau (City University of Hong Kong, Hong Kong SAR)
DOI: 10.4018/JDM.299555
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Abstract
Recently, works on integrating HTM with STM, called hybrid transactional memory (HyTM), have intensively studied. However, the existing works consider only the prediction of a conflict between two transactions and provide a static HTM configuration for all workloads. To solve the problems, we proposes a hybrid transactional memory scheme based on both abort prediction and an adaptive retry policy, called HyTM-AP. First, our HyTM-AP can predict not only conflicts between concurrently running transactions, but also the capacity and other aborts of transactions by collecting the information of transactions previously executed. Second, our HyTM-AP 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 the STAMP benchmark, our HyTM-AP shows 12~13% better performance than the existing HyTM schemes.
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