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EGH
2007
Springer

Scan primitives for GPU computing

9 years 4 months ago
Scan primitives for GPU computing
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 segmented scan, on NVIDIA GPUs using the CUDA API. Using the scan primitives, 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.
Shubhabrata Sengupta, Mark Harris, Yao Zhang, John
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where EGH
Authors Shubhabrata Sengupta, Mark Harris, Yao Zhang, John D. Owens
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