Výsledky vyhledávání - "Computing methodologies~Distributed computing methodologies"

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning

Autoři: Gianluca Mittone Nicoló Tonci Robert Birke a další

Zdroj: Proceedings of the 20th ACM International Conference on Computing Frontiers. :73-83

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computing methodologies, Distributed computing methodologies, Distributed algorithms, Machine learning, Machine learning approaches, Neural networks, Hardware, Emerging technologies, Analysis and design of emerging devices and systems, Emerging architectures, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Energy Consumption, Federated Learning, Green Computing, RISC-V, 02 engineering and technology, Distributed, Parallel, and Cluster Computing (cs.DC), 01 natural sciences, RISC-V, Energy Consumption, Federated Learning, Edge Computing, Green Computing, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2302.07946
https://hdl.handle.net/11568/1202687
https://doi.org/10.1145/3587135.3592211
https://hdl.handle.net/2318/1898473
https://doi.org/10.1145/3587135.3592211
https://arxiv.org/abs/2302.07946

Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352)

Autoři: Badia, Rosa M. Berti-Equille, Laure da Silva, Rafael Ferreira a další

Témata: Exascale class machine optimization, Computing methodologies → Parallel computing methodologies, Performance data analysis and root cause detection, Computing methodologies → Distributed computing methodologies, Computing methodologies → Machine learning, High dimensional data representation, Large scale data presentation and analysis

Methods included: standardizing computational reuse and portability with the Common Workflow Language

Autoři: Crusoe, Michael R. Abeln, Sanne Iosup, Alexandru a další

Přispěvatelé: Crusoe, Michael R. Abeln, Sanne Iosup, Alexandru a další

Zdroj: Crusoe, M R, Abeln, S, Iosup, A, Amstutz, P, Chilton, J, Tijanić, N, Ménager, H, Soiland-Reyes, S, Gavrilović, B, Goble, C A & The CWL Community 2022, 'Methods Included : Standardizing Computational Reuse and Portability with the Common Workflow Language', Communications of the ACM, vol. 65, no. 6, pp. 54–63. https://doi.org/10.48550/arXiv.2105.07028, https://doi.org/10.1145/3486897

Témata: FOS: Computer and information sciences, 0301 basic medicine, Data flow architectures workflows, cs.DC, Population genetics, Bioinformatics, Enterprise computing infrastructures, Earth and atmospheric sciences, scientific workflows, • Computer systems organization → Distributed architectures, [INFO] Computer Science [cs], CWL, Imaging, Computational biology, 03 medical and health sciences, SDG 17 - Partnerships for the Goals, Computational transcriptomics, Cloud computing, CCS CONCEPTS • Computing methodologies → Distributed computing methodologies, computational data analysis, Transcriptomics, 0303 health sciences, Enterprise interoperability, Computational proteomics, • General and reference → Computing standards, Computational genomics, Life and medical sciences, Computer Science - Distributed, Parallel, and Cluster Computing, RFCs and guidelines, • Applied computing → Astronomy, Grid computing, standards, workflows, Distributed, Parallel, and Cluster Computing (cs.DC), Systems biology

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2105.07028
https://dare.uva.nl/personal/pure/en/publications/methods-included(2fa19bd5-9b91-4ec0-b041-169f2c49b414).html
https://doi.org/10.1145/3486897
https://hdl.handle.net/11245.1/2fa19bd5-9b91-4ec0-b041-169f2c49b414
https://research.vu.nl/en/publications/0ca22c4b-9010-45c8-bd5c-50ed2a911b6a
https://hdl.handle.net/1871.1/0ca22c4b-9010-45c8-bd5c-50ed2a911b6a
https://research.vu.nl/en/publications/ceeae3dc-bc51-4588-88bc-70f5e096b2d1
https://doi.org/10.1145/3486897
https://hdl.handle.net/1871.1/ceeae3dc-bc51-4588-88bc-70f5e096b2d1
https://arxiv.org/pdf/2105.07028v2
https://ui.adsabs.harvard.edu/abs/2021arXiv210507028C/abstract
https://www.narcis.nl/publication/RecordID/oai%3Aresearch.vu.nl%3Apublications%2F0ca22c4b-9010-45c8-bd5c-50ed2a911b6a
https://research.vu.nl/en/publications/methods-included-standardizing-computational-reuse-and-portabilit
https://dblp.uni-trier.de/db/journals/corr/corr2105.html#abs-2105-07028
http://export.arxiv.org/pdf/2105.07028
https://pasteur.hal.science/pasteur-03680143v2/document
https://pasteur.hal.science/pasteur-03680143v2
https://doi.org/10.1145/3486897
https://pure.manchester.ac.uk/ws/files/218742952/3486897.pdf
https://cacm.acm.org/magazines/2022/6/261172-methods-included/fulltext
https://doi.org/10.48550/arXiv.2105.07028
https://research.manchester.ac.uk/en/publications/df12f1a3-8af0-40fa-8989-c5e4eb1beea5
https://s11.no/2022/phd/methods-included/
https://dspace.library.uu.nl/handle/1874/434518

Can Byzantine Fault Tolerant Consensus Agreement be Utilitarian, Scalable and Resilient? An Algorithm Proposition from a Consortium Blockchain Perspective: CUBA

Autoři: Samuel, Cyril, Naves Verdier, François Glock, Severine a další

Přispěvatelé: Samuel, Cyril, Naves Verdier, François Glock, Severine a další

Zdroj: https://hal.science/hal-04535185 ; 2024.

Témata: CCS Concepts: Computing methodologies → Distributed computing methodologies, Computer systems organization → Reliability blockchains, distributed systems, byzantine fault tolerant, consensus algorithms, CCS Concepts, Computing methodologies → Distributed computing methodologies, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Dostupnost: https://hal.science/hal-04535185
https://hal.science/hal-04535185v1/document
https://hal.science/hal-04535185v1/file/ACM_Journal_CUBA_Prop-1.pdf

Accelerating MoE Model Inference with Expert Sharding

Autoři: Balmau, Oana Kermarrec, Anne-Marie Pereira Pires, Rafael a další

Témata: CCS Concepts, Computing methodologies → Distributed computing methodologies, Machine learning mixture of experts inference, expert sharding, distributed machine learning, large language models

Relation: EuroMLSys '25: Proceedings of the 5th Workshop on Machine Learning and Systems; 5th Workshop on Machine Learning and Systems (EuroMLSys); 979-8-4007-1538-9; https://doi.org/10.1145/3721146.3721940; FRIDAY: Frugal, Privacy- Aware and Practical Decentralized Learning; https://infoscience.epfl.ch/handle/20.500.14299/247717

Dostupnost: https://doi.org/10.1145/3721146.3721938
https://infoscience.epfl.ch/handle/20.500.14299/247717
https://hdl.handle.net/20.500.14299/247717

Blockchain Performance Benchmarking: a VCG Auction Smart Contract Use Case for Ethereum and Tezos (Short Paper)

Autoři: Massoni Sguerra, Lucas Jouvelot, Pierre Gallego Arias, Emilio Jesús a další

Přispěvatelé: Massoni Sguerra, Lucas Jouvelot, Pierre Gallego Arias, Emilio Jesús a další

Zdroj: FAB 2021 - Fourth International Symposium on Foundations and Applications of Blockchain ; https://minesparis-psl.hal.science/hal-03210222 ; FAB 2021 - Fourth International Symposium on Foundations and Applications of Blockchain, University of California, Davis, May 2021, Davis / Virtual, United States ; https://scfab.github.io/2021/

Témata: Phrases Blockchain, Smart contracts, Ethereum, Tezos, Vickrey-Clarke-Groves (VCG) auction, 2012 ACM Subject Classification: Computing methodologies -- > Distributed computing methodologies, [INFO]Computer Science [cs], [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SPI]Engineering Sciences [physics]

Geografické téma: Davis / Virtual, United States

Dostupnost: https://minesparis-psl.hal.science/hal-03210222
https://minesparis-psl.hal.science/hal-03210222v1/document
https://minesparis-psl.hal.science/hal-03210222v1/file/A-748.pdf

hpc application cloudification the streamflow toolkit invited paper

Autoři: Colonnelli, Iacopo Cantalupo, Barbara Esposito, Roberto a další

Přispěvatelé: Colonnelli, Iacopo Cantalupo, Barbara Esposito, Roberto a další

Témata: distributed computing, Computing methodologies → Distributed computing methodologies, cloud computing, workflow management systems, Computer systems organization → Cloud computing, high-performance computing, streamflow, ddc:004

Popis souboru: application/pdf

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/hipeac/parma2021.html#ColonnelliCEPSA21
https://iris.unito.it/handle/2318/1777634
https://drops.dagstuhl.de/opus/volltexte/2021/13641/
https://drops.dagstuhl.de/opus/volltexte/2021/13641/pdf/OASIcs-PARMA-DITAM-2021-5.pdf/
https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.PARMA-DITAM.2021.5

Local certification of geometric graph classes

Autoři: Defrain, Oscar Esperet, Louis Lagoutte, Aurélie a další

Přispěvatelé: Defrain, Oscar Esperet, Louis Lagoutte, Aurélie a další

Témata: Computational Geometry (cs.CG), FOS: Computer and information sciences, [INFO.INFO-DC]Computer Science [cs]/Distributed, Mathematics of computing → Graph theory, Discrete Mathematics (cs.DM), Computing methodologies → Distributed computing methodologies, proof labeling schemes, Theory of computation → Computational geometry, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], Parallel, and Cluster Computing [cs.DC], Computer Science - Distributed, Parallel, and Cluster Computing, [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO], geometric intersection graphs, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Local certification, FOS: Mathematics, Computer Science - Computational Geometry, Mathematics - Combinatorics, Distributed, Parallel, and Cluster Computing (cs.DC), Combinatorics (math.CO), ddc:004, Computer Science - Discrete Mathematics

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2311.16953
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2024.48

Real-Time Verification for Distributed Cyber-Physical Systems

Autoři: Tran, Hoang-Dung Nguyen, Luan Viet Musau, Patrick a další

Zdroj: Leibniz Transactions on Embedded Systems; Vol. 8 No. 2 (2022): Special Issue on Distributed Hybrid Systems; 07:1-07:19 ; 2199-2002 ; 10.4230/LITES-v008-i002

Témata: Verification, Reachability Analysis, Distributed Cyber-Physical Systems, Computing methodologies~Distributed computing methodologies

Popis souboru: application/pdf

Relation: https://ojs.dagstuhl.de/index.php/lites/article/view/lites-v008-i002-a007/55

Dostupnost: https://ojs.dagstuhl.de/index.php/lites/article/view/lites-v008-i002-a007
https://doi.org/10.4230/LITES.8.2.7

Local Certification of Geometric Graph Classes

Autoři: Defrain, Oscar Esperet, Louis Lagoutte, Aurélie a další

Přispěvatelé: Defrain, Oscar Esperet, Louis Lagoutte, Aurélie a další

Zdroj: 49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024), Leibniz International Proceedings in Informatics (LIPIcs)
49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024)
https://hal.science/hal-04683575
49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024), Aug 2024, Bratislava, Slovakia. pp.48-1-48-14, ⟨10.4230/LIPIcs.MFCS.2024.48⟩

Témata: Local certification, proof labeling schemes, geometric intersection graphs, Mathematics of computing → Graph theory, Computing methodologies → Distributed computing methodologies, Theory of computation → Computational geometry, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Geografické téma: Bratislava, Slovakia

Relation: https://uca.hal.science/hal-04313338v1; https://uca.hal.science/hal-04313338; info:eu-repo/semantics/altIdentifier/arxiv/2311.16953; ARXIV: 2311.16953

Dostupnost: https://hal.science/hal-04683575
https://doi.org/10.4230/LIPIcs.MFCS.2024.48

Partial Replication Policies for Dynamic Distributed Transactional Memory in Edge Clouds

Autoři: Lima, Diogo Miranda, Hugo Taïani, François

Přispěvatelé: Lima, Diogo Miranda, Hugo Taïani, François

Zdroj: Proceedings of the 1st Workshop on Middleware for Edge Clouds & Cloudlets - MECC '16. :1-6

Témata: Self-organization, Edge Clouds, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, Geographical Distribution, CCS Concepts •Computing methodologies → Distributed computing methodologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Partial Replication

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.inria.fr/hal-01420708/file/mecc.pdf
https://dl.acm.org/citation.cfm?doid=3017116.3022872
https://hal.inria.fr/hal-01420708
https://dl.acm.org/doi/10.1145/3017116.3022872
https://dblp.uni-trier.de/db/conf/middleware/mecc2016.html#LimaMT16
https://hal.inria.fr/hal-01420708/document

LIPIcs, Volume 146, DISC'19, Complete Volume

Autoři: Suomela, Jukka Jukka Suomela

Přispěvatelé: Suomela, Jukka Jukka Suomela

Témata: Distributed computing methodologies, Software and its engineering, Distributed systems organizing principles, Computing methodologies, Distributed computing methodologies, Software and its engineering, Distributed systems organizing principles, ddc:004, Computing methodologies

Popis souboru: application/pdf

Přístupová URL adresa: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2019

LIPIcs, Volume 121, DISC'18, Complete Volume

Autoři: Schmid, Ulrich Widder, Josef Ulrich Schmid and Josef Widder

Přispěvatelé: Schmid, Ulrich Widder, Josef Ulrich Schmid and Josef Widder

Témata: Distributed computing methodologies, Software and its engineering, Software and its engineering, Distributed systems organizing principles, Computing methodologies, Distributed computing methodologies, Distributed systems organizing principles, ddc:004, Computing methodologies

Popis souboru: application/pdf

Přístupová URL adresa: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2018

Accelerating Distributed Graphical Fluid Simulations with Micro‐partitioning.

Autoři: Qu, Hang Mashayekhi, Omid Shah, Chinmayee a další

Zdroj: Computer Graphics Forum. Feb2020, Vol. 39 Issue 1, p375-388. 14p. 2 Color Photographs, 3 Diagrams, 9 Graphs.

Témata: *DEAD loads (Mechanics), *DEBUGGING, *CLOUD computing, *COMPUTER scheduling, *ACQUISITION of data, *COMPUTER graphics

Distributing and Load Balancing Sparse Fluid Simulations.

Autoři: Shah, C. Hyde, D. Qu, H. a další

Zdroj: Computer Graphics Forum. Dec2018, Vol. 37 Issue 8, p35-46. 12p. 4 Color Photographs, 2 Diagrams, 4 Charts, 1 Graph.

Témata: *POLYNOMIAL time algorithms, *ALGORITHMS, *COMPUTATIONAL complexity, *COMPUTATIONAL fluid dynamics

A Survey on Off-chain Networks: Frameworks, Technologies, Solutions and Challenges.

Autoři: Wang, Xiaojie Li, Hanxue Yi, Ling a další

Zdroj: ACM Computing Surveys; Dec2025, Vol. 57 Issue 12, p1-35, 35p

Towards Serialization/Deserialization-free State Transfer in Serverless Workflows.

Autoři: Wei, Xingda Lu, Fangming Huang, Zhuobin a další

Zdroj: ACM Transactions on Computer Systems; Nov2025, Vol. 43 Issue 4, p1-32, 32p

Témata: CLOUD computing, ENCODING

Bias in Federated Learning: A Comprehensive Survey.

Autoři: Benarba, Nawel Bouchenak, Sara

Zdroj: ACM Computing Surveys; Nov2025, Vol. 57 Issue 11, p1-36, 36p

Témata: ARTIFICIAL intelligence, DISTRIBUTED artificial intelligence, CIVIL Rights Act of 1964. Title VII, FEDERATED learning, MACHINE learning, HUMAN activity recognition

Improved Multi-Agent Proximal Policy Optimization Algorithm for Resource Allocation with Radar-Perception in UAV-Assisted VEC.

Autoři: Li, Chunlin Zhang, Zihao Wang, Jiaqi a další

Zdroj: ACM Transactions on Sensor Networks; Nov2025, Vol. 21 Issue 6, p1-28, 28p

Témata: RESOURCE allocation, REMOTE sensing by radar, BANDWIDTHS, EDGE computing, MARKOV processes, DRONE aircraft, REINFORCEMENT learning

D-RecSys: A Decentralized Recommendation Framework for Web 3.0-Based Content-Sharing Platforms.

Autoři: Roy, Utsa Mukhopadhyay, Ritoja Sharma, Prateush a další

Zdroj: ACM Transactions on Internet Technology; Nov2025, Vol. 25 Issue 4, p1-26, 26p

Témata: FEDERATED learning, DATA privacy, WEB personalization, BLOCKCHAINS, PEER-to-peer architecture (Computer networks), SHARING, CONSUMER profiling, RECOMMENDER systems