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1Academic Journal
Συγγραφείς: Keller, Jorg, Author, Litzinger, Sebastian, Author
Συνεισφορές: Keller, Jorg, Author, Litzinger, Sebastian, Author
Πηγή: Concurrency and Computation. 38(1)
Θεματικοί όροι: approximate computing, parallel graph algorithm, state transition graph
Περιγραφή αρχείου: electronic
Συνδεδεμένο Πλήρες ΚείμενοΣύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-220958
https://doi.org/10.1002/cpe.70502 -
2Conference
Συγγραφείς: Münk, Robin
Πηγή: Proceedings of the 38th ACM Symposium on Parallelism in Algorithms and Architectures. :50-61
Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3816782.3819180
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3Conference
Συγγραφείς: Shyma, P V, Sanil Shanker, Kp
Πηγή: 2026 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS) Computing, Communication, Security and Intelligent Systems (IC3SIS), 2026 International Conference on. :1-7 May, 2026
Relation: 2026 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS)
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4eBook
Συγγραφείς: Erciyes, K.Aff4
Συνεισφορές: Hazzan, Orit, Series EditorAff1, Maurer, Frank, Series EditorAff2, Erciyes, K.Aff3
Πηγή: Guide to Graph Algorithms : Sequential, Parallel and Distributed. :77-116
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5Conference
Συγγραφείς: Dong, Xiaojun, Gu, Yan, Sun, Yihan, Wang, Letong
Πηγή: Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures. :439-441
Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3626183.3660258
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6Academic Journal
Συγγραφείς: null Dedy Tri Cahyono, null Jaja Miharja
Πηγή: Programming and Algorithm Fundamentals. 1:01-10
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7Academic Journal
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8Conference
Συγγραφείς: Khurana, Meenu, Kumar, Sandeep, Srivastava, Arun Pratap, Badhoutiya, Arti, Khan, Akhilesh Kumar, Pant, Rajesh
Πηγή: 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM) Innovative Practices in Technology and Management (ICIPTM), 2024 4th International Conference on. :1-6 Feb, 2024
Relation: 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM)
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9Conference
Συγγραφείς: Manohar, Magdalen Dobson, Shen, Zheqi, Blelloch, Guy, Dhulipala, Laxman, Gu, Yan, Simhadri, Harsha Vardhan, Sun, Yihan
Πηγή: Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming. :270-285
Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3627535.3638475
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10Academic Journal
Συγγραφείς: Keqing Guan, Xianli Kong
Πηγή: Journal of computing and information technology. 33(3)
Θεματικοί όροι: parallel graph partitioning algorithm, big data, distributed, network split, network information processing
Περιγραφή αρχείου: application/pdf
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11Conference
Συγγραφείς: Ikram, Humza, Brady, Andrew, Anderson, Daniel, Blelloch, Guy E.
Πηγή: Proceedings of the 37th ACM Symposium on Parallelism in Algorithms and Architectures. :525-539
Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3694906.3743305
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12Academic Journal
Συγγραφείς: Blume, Till1 (AUTHOR), Rau, Jannik2 (AUTHOR), Richerby, David3 (AUTHOR), Scherp, Ansgar2 (AUTHOR) ansgar.scherp@uni‐ulm.de
Πηγή: Expert Systems. Jan2026, Vol. 43 Issue 1, p1-23. 23p.
Θεματικοί όροι: *Batch processing, *Algorithms, Parallel algorithms, Graph algorithms, Graph theory, Computational complexity
Συνδεδεμένο Πλήρες Κείμενο -
13Report
Συγγραφείς: Dong, Xiaojun, Gu, Yan, Sun, Yihan, Wang, Letong
Θεματικοί όροι: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Data Structures and Algorithms
Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2404.17101
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14Academic Journal
Συγγραφείς: Davis, Timothy A.
Πηγή: ACM Transactions on Mathematical Software. 49(3):1-30
Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3577195
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15Conference
Συγγραφείς: Kelley, Brian, Rajamanickam, Sivasankaran
Πηγή: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) IPDPS Parallel and Distributed Processing Symposium (IPDPS), 2022 IEEE International. :280-290 May, 2022
Relation: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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16Conference
Συγγραφείς: Atik, Funda, Yesil, Serif, Ouarnoughi, Hamza, Niar, Smail, Ozturk, Ozcan
Πηγή: 2024 IEEE 30th International Conference on Parallel and Distributed Systems (ICPADS) ICPADS Parallel and Distributed Systems (ICPADS), 2024 IEEE 30th International Conference on. :703-709 Oct, 2024
Relation: 2024 IEEE 30th International Conference on Parallel and Distributed Systems (ICPADS)
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17Electronic Resource
Συγγραφείς: Keller, Jorg, Litzinger, Sebastian
Όροι ευρετηρίου: approximate computing; parallel graph algorithm; state transition graph, Computer Sciences, Datavetenskap (datalogi), Article in journal, info:eu-repo/semantics/article, text
Σύνδεσμος:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-220958
Concurrency and Computation, 1532-0626, 2026, 38:1 -
18Conference
Συγγραφείς: Gianinazzi, Lukas, Besta, Maciej, Schaffner, Yannick, Hoefler, Torsten
Πηγή: Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures. :243-253
Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3409964.3461800
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19Report
Συγγραφείς: Jain, Naman
Θεματικοί όροι: Computer Science - Computational Geometry
Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2409.15400
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20Electronic Resource
Additional Titles: Randomized parallel algorithms for many fundamental problems achieve optimal linear work in expectation, but upgrading this guarantee to hold with high probability (whp) remains a recurring theoretical challenge. In this paper, we address this gap for several core parallel primitives. First, we present the first parallel semisort algorithm achieving $O(n)$ work and $O(\text{polylog } n)$ depth whp, improving upon the $O(n)$ expected work bound of Gu et al. [SPAA 2015]. Our analysis introduces new concentration arguments based on simple tabulation hashing and tail bounds for weighted sums of geometric random variables. As a corollary, we obtain an integer sorting algorithm for keys in $[n]$ matching the same bounds. Second, we introduce a framework for boosting randomized parallel graph algorithms from expected to high probability linear work. The framework applies to \emph{locally extendable} problems -- those admitting a deterministic procedure that extends a solution across a graph cut in work proportional to the cut size. We combine this with a \emph{culled balanced partition} scheme: an iterative culling phase removes a polylogarithmic number of high-degree vertices, after which the remaining graph admits a balanced random vertex whp via a bounded-differences argument. Applying work-inefficient whp subroutines to the small pieces and deterministic extension across cuts yields overall linear work whp. We instantiate this framework to obtain $O(m)$ work and polylogarithmic depth whp algorithms for $(Δ+1)$-vertex coloring and maximal independent set.
Συγγραφείς: Hutton, Chase, Melrod, Adam
Όροι ευρετηρίου: Data Structures and Algorithms, text
Σύνδεσμος:
http://arxiv.org/abs/2603.00898