A parallel linked list for shared-memory multiprocessors:
Abstract: "In shared-memory parallel computers, if a data structure such as a ring-buffer queue or a linked list is used by many concurrent processes, some kind of concurrency control is needed. One way is to use a high-level concurrency construct such as a monitor [1] [2] [3]. The monitor guar...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Urbana, Ill.
1989
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Schriftenreihe: | Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report
879 |
Schlagworte: | |
Zusammenfassung: | Abstract: "In shared-memory parallel computers, if a data structure such as a ring-buffer queue or a linked list is used by many concurrent processes, some kind of concurrency control is needed. One way is to use a high-level concurrency construct such as a monitor [1] [2] [3]. The monitor guarantees that only one process can access the data structure at a time. If several processes access the structure concurrently, they are serialized by the monitor. In a large parallel computer system, there may be hundreds or thousands of processors executing concurrent processes on a shared structure. A shared data structure protected by a monitor can easily become a bottleneck. Such a serial bottleneck limits the parallelism that can be exploited by the parallel computer system." |
Beschreibung: | 17 S. |
Internformat
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100 | 1 | |a Tang, Peiyi |e Verfasser |4 aut | |
245 | 1 | 0 | |a A parallel linked list for shared-memory multiprocessors |c Peiyi Tang ; Pen-Chung Yew ; Chuan-Qi Zhu |
264 | 1 | |a Urbana, Ill. |c 1989 | |
300 | |a 17 S. | ||
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490 | 1 | |a Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report |v 879 | |
520 | 3 | |a Abstract: "In shared-memory parallel computers, if a data structure such as a ring-buffer queue or a linked list is used by many concurrent processes, some kind of concurrency control is needed. One way is to use a high-level concurrency construct such as a monitor [1] [2] [3]. The monitor guarantees that only one process can access the data structure at a time. If several processes access the structure concurrently, they are serialized by the monitor. In a large parallel computer system, there may be hundreds or thousands of processors executing concurrent processes on a shared structure. A shared data structure protected by a monitor can easily become a bottleneck. Such a serial bottleneck limits the parallelism that can be exploited by the parallel computer system." | |
650 | 4 | |a Data structures (Computer science) | |
650 | 4 | |a Multiprocessors | |
700 | 1 | |a Yew, Pen-Chung |e Verfasser |4 aut | |
700 | 1 | |a Zhu, Chuan-Qi |e Verfasser |4 aut | |
830 | 0 | |a Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report |v 879 |w (DE-604)BV008930033 |9 879 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-005905547 |
Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Tang, Peiyi Yew, Pen-Chung Zhu, Chuan-Qi |
author_facet | Tang, Peiyi Yew, Pen-Chung Zhu, Chuan-Qi |
author_role | aut aut aut |
author_sort | Tang, Peiyi |
author_variant | p t pt p c y pcy c q z cqz |
building | Verbundindex |
bvnumber | BV008949936 |
ctrlnum | (OCoLC)22145242 (DE-599)BVBBV008949936 |
format | Book |
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indexdate | 2024-07-09T17:27:18Z |
institution | BVB |
language | English |
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physical | 17 S. |
publishDate | 1989 |
publishDateSearch | 1989 |
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record_format | marc |
series | Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report |
series2 | Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report |
spelling | Tang, Peiyi Verfasser aut A parallel linked list for shared-memory multiprocessors Peiyi Tang ; Pen-Chung Yew ; Chuan-Qi Zhu Urbana, Ill. 1989 17 S. txt rdacontent n rdamedia nc rdacarrier Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report 879 Abstract: "In shared-memory parallel computers, if a data structure such as a ring-buffer queue or a linked list is used by many concurrent processes, some kind of concurrency control is needed. One way is to use a high-level concurrency construct such as a monitor [1] [2] [3]. The monitor guarantees that only one process can access the data structure at a time. If several processes access the structure concurrently, they are serialized by the monitor. In a large parallel computer system, there may be hundreds or thousands of processors executing concurrent processes on a shared structure. A shared data structure protected by a monitor can easily become a bottleneck. Such a serial bottleneck limits the parallelism that can be exploited by the parallel computer system." Data structures (Computer science) Multiprocessors Yew, Pen-Chung Verfasser aut Zhu, Chuan-Qi Verfasser aut Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report 879 (DE-604)BV008930033 879 |
spellingShingle | Tang, Peiyi Yew, Pen-Chung Zhu, Chuan-Qi A parallel linked list for shared-memory multiprocessors Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report Data structures (Computer science) Multiprocessors |
title | A parallel linked list for shared-memory multiprocessors |
title_auth | A parallel linked list for shared-memory multiprocessors |
title_exact_search | A parallel linked list for shared-memory multiprocessors |
title_full | A parallel linked list for shared-memory multiprocessors Peiyi Tang ; Pen-Chung Yew ; Chuan-Qi Zhu |
title_fullStr | A parallel linked list for shared-memory multiprocessors Peiyi Tang ; Pen-Chung Yew ; Chuan-Qi Zhu |
title_full_unstemmed | A parallel linked list for shared-memory multiprocessors Peiyi Tang ; Pen-Chung Yew ; Chuan-Qi Zhu |
title_short | A parallel linked list for shared-memory multiprocessors |
title_sort | a parallel linked list for shared memory multiprocessors |
topic | Data structures (Computer science) Multiprocessors |
topic_facet | Data structures (Computer science) Multiprocessors |
volume_link | (DE-604)BV008930033 |
work_keys_str_mv | AT tangpeiyi aparallellinkedlistforsharedmemorymultiprocessors AT yewpenchung aparallellinkedlistforsharedmemorymultiprocessors AT zhuchuanqi aparallellinkedlistforsharedmemorymultiprocessors |