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.
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