The power of collision: randomized parallel algorithms for chaining and integer sorting
Abstract: "We address the problem of sorting n integers each in the range [0, ..., m-1] in parallel on the PRAM model of computation. We present a randomized algorithm that runs with very high probability in time O(lgn/lglgn + lglgm) with a processor-time product of O(nlglgm) and O(n) space on...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Rochester, NY
1990
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Schriftenreihe: | University of Rochester <Rochester, NY> / Department of Computer Science: Technical report
336 |
Schlagworte: | |
Zusammenfassung: | Abstract: "We address the problem of sorting n integers each in the range [0, ..., m-1] in parallel on the PRAM model of computation. We present a randomized algorithm that runs with very high probability in time O(lgn/lglgn + lglgm) with a processor-time product of O(nlglgm) and O(n) space on the CRCW (Collision) PRAM [7]. The main features of this algorithm is [sic] that it matches the run-time and processor requirements of the algorithms in the existing literature [2,10], while it assumes a weaker model of computation and uses a linear amount of space The techniques used to extend to improved randomized algorithms for the problem of chaining [11,15], which is the following: given an array x1, ..., xn, such that m of the locations contain non-zero elements, to chain together all the non-zero elements into a linked list. We give randomized algorithms that run in O(1) time using n processors, whenever m is not too close to n. |
Beschreibung: | 16 S. |
Internformat
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490 | 1 | |a University of Rochester <Rochester, NY> / Department of Computer Science: Technical report |v 336 | |
520 | 3 | |a Abstract: "We address the problem of sorting n integers each in the range [0, ..., m-1] in parallel on the PRAM model of computation. We present a randomized algorithm that runs with very high probability in time O(lgn/lglgn + lglgm) with a processor-time product of O(nlglgm) and O(n) space on the CRCW (Collision) PRAM [7]. The main features of this algorithm is [sic] that it matches the run-time and processor requirements of the algorithms in the existing literature [2,10], while it assumes a weaker model of computation and uses a linear amount of space | |
520 | 3 | |a The techniques used to extend to improved randomized algorithms for the problem of chaining [11,15], which is the following: given an array x1, ..., xn, such that m of the locations contain non-zero elements, to chain together all the non-zero elements into a linked list. We give randomized algorithms that run in O(1) time using n processors, whenever m is not too close to n. | |
650 | 4 | |a Algorithms | |
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810 | 2 | |a Department of Computer Science: Technical report |t University of Rochester <Rochester, NY> |v 336 |w (DE-604)BV008902697 |9 336 | |
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author | Raman, Rajeev |
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indexdate | 2024-07-09T17:27:19Z |
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language | English |
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publishDate | 1990 |
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series2 | University of Rochester <Rochester, NY> / Department of Computer Science: Technical report |
spelling | Raman, Rajeev Verfasser aut The power of collision randomized parallel algorithms for chaining and integer sorting Rochester, NY 1990 16 S. txt rdacontent n rdamedia nc rdacarrier University of Rochester <Rochester, NY> / Department of Computer Science: Technical report 336 Abstract: "We address the problem of sorting n integers each in the range [0, ..., m-1] in parallel on the PRAM model of computation. We present a randomized algorithm that runs with very high probability in time O(lgn/lglgn + lglgm) with a processor-time product of O(nlglgm) and O(n) space on the CRCW (Collision) PRAM [7]. The main features of this algorithm is [sic] that it matches the run-time and processor requirements of the algorithms in the existing literature [2,10], while it assumes a weaker model of computation and uses a linear amount of space The techniques used to extend to improved randomized algorithms for the problem of chaining [11,15], which is the following: given an array x1, ..., xn, such that m of the locations contain non-zero elements, to chain together all the non-zero elements into a linked list. We give randomized algorithms that run in O(1) time using n processors, whenever m is not too close to n. Algorithms Sorting (Electronic computers) Department of Computer Science: Technical report University of Rochester <Rochester, NY> 336 (DE-604)BV008902697 336 |
spellingShingle | Raman, Rajeev The power of collision randomized parallel algorithms for chaining and integer sorting Algorithms Sorting (Electronic computers) |
title | The power of collision randomized parallel algorithms for chaining and integer sorting |
title_auth | The power of collision randomized parallel algorithms for chaining and integer sorting |
title_exact_search | The power of collision randomized parallel algorithms for chaining and integer sorting |
title_full | The power of collision randomized parallel algorithms for chaining and integer sorting |
title_fullStr | The power of collision randomized parallel algorithms for chaining and integer sorting |
title_full_unstemmed | The power of collision randomized parallel algorithms for chaining and integer sorting |
title_short | The power of collision |
title_sort | the power of collision randomized parallel algorithms for chaining and integer sorting |
title_sub | randomized parallel algorithms for chaining and integer sorting |
topic | Algorithms Sorting (Electronic computers) |
topic_facet | Algorithms Sorting (Electronic computers) |
volume_link | (DE-604)BV008902697 |
work_keys_str_mv | AT ramanrajeev thepowerofcollisionrandomizedparallelalgorithmsforchainingandintegersorting |