Constants in parallel sorting:
Abstract: "The constant factors in the time complexity of three parallel mergesort variants, running on a EREW PRAM, are analysed under a simple cost model. The algorithms studied are linear-time mergesort, odd- even mergesort and polylogarithmic mergesort. The processors of a PRAM are assumed...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
København
1995
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Schriftenreihe: | Datalogisk Institut <København>: DIKU-Rapport
1995,27 |
Schlagworte: | |
Zusammenfassung: | Abstract: "The constant factors in the time complexity of three parallel mergesort variants, running on a EREW PRAM, are analysed under a simple cost model. The algorithms studied are linear-time mergesort, odd- even mergesort and polylogarithmic mergesort. The processors of a PRAM are assumed to be word-addressable machines that can execute three-address instructions of our hypothetical assembly language in unit time. For the sake of comparison, sequential quicksort, heapsort and mergesort are examined within the same framework. The number of operations performed by linear-time mergesort, i.e. its work, is at most four times the time required by sequential mergesort. The work of polylogarithmic mergesort is about twenty times that of sequential mergesort. Morever, polylogarithmic mergesort seems to perform relatively well compared to odd-even mergesort, but there are still place [sic] for improvements." |
Beschreibung: | 10 S. |
Internformat
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490 | 1 | |a Datalogisk Institut <København>: DIKU-Rapport |v 1995,27 | |
520 | 3 | |a Abstract: "The constant factors in the time complexity of three parallel mergesort variants, running on a EREW PRAM, are analysed under a simple cost model. The algorithms studied are linear-time mergesort, odd- even mergesort and polylogarithmic mergesort. The processors of a PRAM are assumed to be word-addressable machines that can execute three-address instructions of our hypothetical assembly language in unit time. For the sake of comparison, sequential quicksort, heapsort and mergesort are examined within the same framework. The number of operations performed by linear-time mergesort, i.e. its work, is at most four times the time required by sequential mergesort. The work of polylogarithmic mergesort is about twenty times that of sequential mergesort. Morever, polylogarithmic mergesort seems to perform relatively well compared to odd-even mergesort, but there are still place [sic] for improvements." | |
650 | 4 | |a Computer algorithms | |
650 | 4 | |a Parallel processing (Electronic computers) | |
650 | 4 | |a Sorting (Electronic computers) | |
830 | 0 | |a Datalogisk Institut <København>: DIKU-Rapport |v 1995,27 |w (DE-604)BV010011493 |9 1995,27 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-007397347 |
Datensatz im Suchindex
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any_adam_object | |
author | Katajainen, Jyrki |
author_facet | Katajainen, Jyrki |
author_role | aut |
author_sort | Katajainen, Jyrki |
author_variant | j k jk |
building | Verbundindex |
bvnumber | BV011046412 |
ctrlnum | (OCoLC)38525429 (DE-599)BVBBV011046412 |
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id | DE-604.BV011046412 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T18:03:07Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007397347 |
oclc_num | 38525429 |
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owner_facet | DE-91G DE-BY-TUM |
physical | 10 S. |
publishDate | 1995 |
publishDateSearch | 1995 |
publishDateSort | 1995 |
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series | Datalogisk Institut <København>: DIKU-Rapport |
series2 | Datalogisk Institut <København>: DIKU-Rapport |
spelling | Katajainen, Jyrki Verfasser aut Constants in parallel sorting Jyrki Katajainen København 1995 10 S. txt rdacontent n rdamedia nc rdacarrier Datalogisk Institut <København>: DIKU-Rapport 1995,27 Abstract: "The constant factors in the time complexity of three parallel mergesort variants, running on a EREW PRAM, are analysed under a simple cost model. The algorithms studied are linear-time mergesort, odd- even mergesort and polylogarithmic mergesort. The processors of a PRAM are assumed to be word-addressable machines that can execute three-address instructions of our hypothetical assembly language in unit time. For the sake of comparison, sequential quicksort, heapsort and mergesort are examined within the same framework. The number of operations performed by linear-time mergesort, i.e. its work, is at most four times the time required by sequential mergesort. The work of polylogarithmic mergesort is about twenty times that of sequential mergesort. Morever, polylogarithmic mergesort seems to perform relatively well compared to odd-even mergesort, but there are still place [sic] for improvements." Computer algorithms Parallel processing (Electronic computers) Sorting (Electronic computers) Datalogisk Institut <København>: DIKU-Rapport 1995,27 (DE-604)BV010011493 1995,27 |
spellingShingle | Katajainen, Jyrki Constants in parallel sorting Datalogisk Institut <København>: DIKU-Rapport Computer algorithms Parallel processing (Electronic computers) Sorting (Electronic computers) |
title | Constants in parallel sorting |
title_auth | Constants in parallel sorting |
title_exact_search | Constants in parallel sorting |
title_full | Constants in parallel sorting Jyrki Katajainen |
title_fullStr | Constants in parallel sorting Jyrki Katajainen |
title_full_unstemmed | Constants in parallel sorting Jyrki Katajainen |
title_short | Constants in parallel sorting |
title_sort | constants in parallel sorting |
topic | Computer algorithms Parallel processing (Electronic computers) Sorting (Electronic computers) |
topic_facet | Computer algorithms Parallel processing (Electronic computers) Sorting (Electronic computers) |
volume_link | (DE-604)BV010011493 |
work_keys_str_mv | AT katajainenjyrki constantsinparallelsorting |