In PPoPP '07: Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming (2007), pp. 56-67.
While parallel programmers find it easier to reason about large atomic regions, the conventional mutual exclusion-based primitives for synchronization force them to interleave many small operations to achieve performance. Transactional memory promises that programmer scan use large atomic regions while achieving similar performance. However, these large transactions can conflict when operating on shared data structures, even for logically independent operations. Transactional collection classes address this problem by allowing long-running transactions to operate on shared data while eliminating unnecessary conflicts. Transactional collection classes wrap existing data structures, without the need for custom implementations or knowledge of data structure internals.