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Title: Parallel sort with a ranged, partitioned key-value store in a high perfomance computing environment

Abstract

Improved sorting techniques are provided that perform a parallel sort using a ranged, partitioned key-value store in a high performance computing (HPC) environment. A plurality of input data files comprising unsorted key-value data in a partitioned key-value store are sorted. The partitioned key-value store comprises a range server for each of a plurality of ranges. Each input data file has an associated reader thread. Each reader thread reads the unsorted key-value data in the corresponding input data file and performs a local sort of the unsorted key-value data to generate sorted key-value data. A plurality of sorted, ranged subsets of each of the sorted key-value data are generated based on the plurality of ranges. Each sorted, ranged subset corresponds to a given one of the ranges and is provided to one of the range servers corresponding to the range of the sorted, ranged subset. Each range server sorts the received sorted, ranged subsets and provides a sorted range. A plurality of the sorted ranges are concatenated to obtain a globally sorted result.

Inventors:
; ; ; ;
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1262640
Patent Number(s):
9,245,048
Application Number:
14/143,771
Assignee:
EMC Corporation (Hopkinton, MA) Los Alamos National Security, LLC (Los Alamos, NM) LANL
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Dec 30
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Bent, John M., Faibish, Sorin, Grider, Gary, Torres, Aaron, and Poole, Stephen W.. Parallel sort with a ranged, partitioned key-value store in a high perfomance computing environment. United States: N. p., 2016. Web.
Bent, John M., Faibish, Sorin, Grider, Gary, Torres, Aaron, & Poole, Stephen W.. Parallel sort with a ranged, partitioned key-value store in a high perfomance computing environment. United States.
Bent, John M., Faibish, Sorin, Grider, Gary, Torres, Aaron, and Poole, Stephen W.. Tue . "Parallel sort with a ranged, partitioned key-value store in a high perfomance computing environment". United States. https://www.osti.gov/servlets/purl/1262640.
@article{osti_1262640,
title = {Parallel sort with a ranged, partitioned key-value store in a high perfomance computing environment},
author = {Bent, John M. and Faibish, Sorin and Grider, Gary and Torres, Aaron and Poole, Stephen W.},
abstractNote = {Improved sorting techniques are provided that perform a parallel sort using a ranged, partitioned key-value store in a high performance computing (HPC) environment. A plurality of input data files comprising unsorted key-value data in a partitioned key-value store are sorted. The partitioned key-value store comprises a range server for each of a plurality of ranges. Each input data file has an associated reader thread. Each reader thread reads the unsorted key-value data in the corresponding input data file and performs a local sort of the unsorted key-value data to generate sorted key-value data. A plurality of sorted, ranged subsets of each of the sorted key-value data are generated based on the plurality of ranges. Each sorted, ranged subset corresponds to a given one of the ranges and is provided to one of the range servers corresponding to the range of the sorted, ranged subset. Each range server sorts the received sorted, ranged subsets and provides a sorted range. A plurality of the sorted ranges are concatenated to obtain a globally sorted result.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 26 00:00:00 EST 2016},
month = {Tue Jan 26 00:00:00 EST 2016}
}

Patent:

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