Segmented Arithmetic Operators for Graphics Processing

Graphics processing relies on executing similar instructions repeatedly on a large data set. This parallelism in the data gives rise to the Single-Instruction Multiple-Data (SIMD) paradigm which is used in modern processors. This paper explores several techniques that exploit the parallelism in the SIMD execution functional units and proposes several

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