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In general-purpose graphics processing unit (GPGPU) computing, data is processed by concurrent threads executing the same function. This model, dubbed singleinstruction/multiple-thread (SIMT), requires programmers to coordinate the synchronous execution of similar operations across thousands of data elements. To alleviate this programmer burden, Gaster and Howes outlined the channel abstraction, which facilitates dynamically aggregating asynchronously produced fine-grain work into coarsergraindoi:10.1109/isca.2014.6853209 dblp:conf/isca/OrrBRW14 fatcat:3lbufs6bffh27grsry25myh4fu