Smart Data Structures: An Online Machine Learning Approach to Multicore Data Structures

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As multicores become prevalent, the complexity of programming is skyrocketing. One major difficulty is efficiently orchestrating collaboration among threads through shared data structures. Unfortunately, choosing and hand-tuning data structure algorithms to get good performance across a variety of machines and inputs is a herculean task to add to the fundamental difficulty of getting a parallel program correct. To help mitigate these complexities, this paper develops a new class of parallel data structures called Smart Data Structures that leverage online machine learning to adapt automatically.