Dynamic Performance Tuning of Word-Based Software Transactional Memory Pascal Felber and Christof Fetzer and Torvald Riegel Appeared in: Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) Date: 2008 Download: BIBTEX (felber2008tinystm) The current generation of software transactional memories has the advantage of being simple and efficient. Nevertheless, there are several parameters that affect the performance of a transactional memory, for example the locality of the application and the cache line size of the processor. In this paper, we investigate dynamic tuning mechanisms on a new time-based software transactional memory implementation. We study in extensive measurements the performance of our implementation and exhibit the benefits of dynamic tuning. We compare our results with TL2, which is currently one of the fastest word-based software transactional memories.