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In current microarchitectures, due to the complex memory hierarchies anddifferent latencies on memory accesses, thread and data mapping are importantissues to improve application performance. Software transactional memory (STM)is an abstraction used for thread synchronization, replacing the use of locksin parallel programming. Regarding thread and data mapping, STM presents newchallenges and mapping opportunities, since (1) STM can use different conflictdetection and resolution strategies, making the behavior of the applicationless predictable and; (2) the STM runtime has precise information about shareddata and the intensity with each thread accesses them. These uniquecharacteristics provide many opportunities for low-overhead, but precisestatistics to guide mapping strategies for STM applications. The main objectiveof this paper is to survey the existing work about thread and data mapping thatuses solely information gathered from the STM runtime to guide thread and datamapping decisions. We also discuss future research directions within thisresearch area.

Thread and Data Mapping in Software Transactional Memory: An Overview