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Parallel hybrid dual pivot sorting algorithm
Author(s)
Taotiamton, Surapong
Date Issued
November 3, 2017
Type
Conference Paper
Abstract
Sorting is one of the common problems in Computer Science and data analytics. This paper presents empirical results of parallel Hybrid Dual Pivot Sort (HDPSort) for multicore/manycore CPU systems. HDPSort makes use of both classic Lomuto and Hoare partioning algorithms with two pivot values in parallel. It is developed in C++ with OpenMP 3.0 or better. HDPSort is benchmarked with the sequential STLSort in terms of run time, instruction count and branch load. The Speedups of HDPSort are up to 3.02× and 2.79× faster than the STLSort on 8-core AMD FX-8320 and 4-core Intel i7-2600 Linux systems, respectively. An indepth analysis shows that HDPSort gains the Speedup by 300% over STLSort at the expense of 1%-4% of branch mispredictions.
Citation
Ecti Con 2017 2017 14th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 377-380, 2017