Scan primitives for GPU computing

Abstract

The scan primitives are powerful, general-purpose data-parallel primitives that are building blocks for a broad range of applications. We describe GPU implementations of these primitives, specifically an efficient formulation and implementation of segmentedscan,on NVIDIA GPUs using the CUDAAPI. Usingthescanprimitives,we show novel GPU implementations of quicksort and sparse matrix-vector multiply, and analyze the performance of the scan primitives, several sort algorithms that use the scan primitives, and a graphical shallow-water fluid simulation using the scan framework for a tridiagonal matrix solver. Copyright © 2007 by the Association for Computing Machinery, Inc.