RMS-TM

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RMS-TM is a new TM benchmark suite that uses Recognition, Mining and Synthesis (RMS) applications. RMS-TM applications have several important properties that make them promising candidates as good TM workloads, such as scalability, I/O operations inside critical sections, nested locking, and various percentage of the time spent in atomic sections and high commit/abort rates depending on the application.

If you use RMS-TM in your research, please cite:

Gokcen Kestor, Srdjan Stipic, Osman Unsal, Adrian Cristal and Mateo Valero, RMS-TM: A Transactional Memory Benchmark for Recognition, Mining and Synthesis Applications, 4th ACM SIGPLAN Workshop on Transactional Computing, TRANSACT, Feb 2009.