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.

The research leading to these results has received funding from the European Community's Seventh Framework Programme [FP7/2007-2013]
under the VELOX Project, grant agreement n°216852.