Lightweight transactional memory for data parallel programming

Abstract

Described is a technology by which alternative use for transactional memory is provided, namely implementing atomic work items that are run asynchronously from their creation in a thread. Described are mechanisms by which threads control the work items that they have created. Atomic work items are scheduled on worker threads managed by the language's runtime system. Atomic work items can use retry to express condition synchronization, providing a general mechanism for controlling when and in what order they are executed. Work items may be grouped, with coordination managed among the grouped work items. Also described by way of example is a highly-parallel implementation of a Chaff satisfiability solver, comprising an example of an important group of applications, including theorem provers and constraint optimization systems.