GPUMemSort: A High Performance Graphics Co-processors Sorting Algorithm for Large Scale In-Memory Data

Abstract

In this paper, we present a GPU-based sorting algorithm,
GPUMemSort, which achieves high performance in
sorting large-scale in-memory data by take advantage of
GPU processors. It consists of two algorithms: an in-core
algorithm, which is responsible for sorting data in GPU
global memory efficiently, and an out-of-core algorithm,
which is responsible for dividing large-scale data into
multiple chunks that fit GPU global memory.
GPUMemSort is implemented based on NVIDIA’s CUDA
framework and some critical and detailed optimization
methods are also presented. The tests of different
algorithms have been run on multiple data sets. The
experimental results show that our in-core sorting can
outperform other comparison-based algorithms and
GPUMemSort is highly effective in sorting large-scale inmemory
data.