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Distributed, Parallel, and Cluster Computing

Authors and titles for recent submissions, skipping first 71

[ total of 95 entries: 1-71 | 72-95 ]
[ showing 71 entries per page: fewer | more | all ]

Fri, 24 May 2024 (continued, showing last 24 of 27 entries)

[72]  arXiv:2405.14639 [pdf, other]
Title: Repurposing of the Run 2 CMS High Level Trigger Infrastructure as a Cloud Resource for Offline Computing
Authors: Marco Mascheroni, Antonio Perez-Calero Yzquierdo, Edita Kizinevic, Farrukh Aftab Khan, Hyunwoo Kim, Maria Acosta Flechas, Nikos Tsipinakis, Saqib Haleem, Damiele Spiga, Christoph Wissing, Frank Wurthwein
Comments: 26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY & NUCLEAR PHYSICS - 2023
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[73]  arXiv:2405.14636 [pdf, other]
Title: PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services
Authors: Zheming Yang, Yuanhao Yang, Chang Zhao, Qi Guo, Wenkai He, Wen Ji
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Networking and Internet Architecture (cs.NI)
[74]  arXiv:2405.14631 [pdf, other]
Title: HPC resources for CMS offline computing: An integration and scalability challenge for the Submission Infrastructure
Authors: Antonio Perez-Calero Yzquierdo, Marco Mascheroni, Edita Kizinevic, Farrukh Aftab Khan, Hyunwoo Kim, Maria Acosta Flechas, Nikos Tsipinakis, Saqib Haleem
Comments: 26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY & NUCLEAR PHYSICS - 2023
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[75]  arXiv:2405.14413 [pdf, other]
Title: GeoFaaS: An Edge-to-Cloud FaaS Platform
Authors: Mohammadreza Malekabbasi, Tobias Pfandzelter, Trever Schirmer, David Bermbach
Comments: 6 pages, 6 figures
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[76]  arXiv:2405.14371 [pdf, other]
Title: EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
Authors: Mingjin Zhang, Jiannong Cao, Xiaoming Shen, Zeyang Cui
Comments: Under review
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[77]  arXiv:2405.14105 [pdf, other]
Title: Distributed Speculative Inference of Large Language Models
Authors: Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
[78]  arXiv:2405.14009 [pdf, other]
Title: SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures
Authors: Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos, Christos Kozyrakis
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG)
[79]  arXiv:2405.13858 [pdf, other]
Title: Carbon Connect: An Ecosystem for Sustainable Computing
Authors: Benjamin C. Lee, David Brooks, Arthur van Benthem, Udit Gupta, Gage Hills, Vincent Liu, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Hardware Architecture (cs.AR); Emerging Technologies (cs.ET); Machine Learning (cs.LG)
[80]  arXiv:2405.13807 [pdf, other]
Title: MPI Progress For All
Authors: Hui Zhou, Robert Latham, Ken Raffenetti, Yanfei Guo, Rajeev Thakur
Comments: Submitting to EuroMPI'24
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[81]  arXiv:2405.13695 [pdf, other]
Title: Total cost of ownership and evaluation of Google cloud resources for the ATLAS experiment at the LHC
Authors: The ATLAS Collaboration
Comments: 48 pages in total, author list starting page 31, 7 figures, 1 table, submitted to Computing and Software for Big Science. All figures including auxiliary figures are available at this https URL
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); High Energy Physics - Experiment (hep-ex)
[82]  arXiv:2405.13615 [pdf, other]
Title: An optimal algorithm for geodesic mutual visibility on hexagonal grids
Authors: Sahar Badri, Serafino Cicerone, Alessia Di Fonso, Gabriele Di Stefano
Comments: 24 pages, 13 figures
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Combinatorics (math.CO)
[83]  arXiv:2405.13594 [pdf, other]
Title: GeoFF: Federated Serverless Workflows with Data Pre-Fetching
Authors: Valentin Carl, Trever Schirmer, Tobias Pfandzelter, David Bermbach
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[84]  arXiv:2405.13528 [pdf, other]
Title: ElastiBench: Scalable Continuous Benchmarking on Cloud FaaS Platforms
Authors: Trever Schirmer, Tobias Pfandzelter, David Bermbach
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[85]  arXiv:2405.13349 [pdf, other]
Title: Building a Verifiable Logical Clock for P2P Networks
Authors: Guangda Sun, Tianyang Tao, Yanpei Guo, Michael Yiqing Hu, Jialin Li
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
[86]  arXiv:2405.14791 (cross-list from cs.LG) [pdf, other]
Title: Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Authors: Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane
Comments: Accepted at the 41st International Conference on Machine Learning (ICML 2024)
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Distributed, Parallel, and Cluster Computing (cs.DC)
[87]  arXiv:2405.14502 (cross-list from cs.DB) [pdf, other]
Title: DEX: Scalable Range Indexing on Disaggregated Memory [Extended Version]
Authors: Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
Comments: 16 pages; To appear at VLDB 2024
Subjects: Databases (cs.DB); Distributed, Parallel, and Cluster Computing (cs.DC)
[88]  arXiv:2405.14446 (cross-list from cs.LG) [pdf, other]
Title: Worldwide Federated Training of Language Models
Authors: Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William F. Shen, Nicholas Donald Lane
Comments: 19 pages, 8 figures, Under Review
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Distributed, Parallel, and Cluster Computing (cs.DC)
[89]  arXiv:2405.14291 (cross-list from cs.LG) [pdf, other]
Title: Variational Bayes for Federated Continual Learning
Authors: Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)
[90]  arXiv:2405.13961 (cross-list from cs.LG) [pdf, other]
Title: SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
Authors: Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Multiagent Systems (cs.MA)
[91]  arXiv:2405.13879 (cross-list from cs.GT) [pdf, other]
Title: FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Authors: Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
Comments: 18 pages, 5 figures
Subjects: Computer Science and Game Theory (cs.GT); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Theoretical Economics (econ.TH)
[92]  arXiv:2405.13746 (cross-list from cs.LG) [pdf, other]
Title: CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models
Authors: Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)
[93]  arXiv:2405.13584 (cross-list from cs.LG) [pdf, other]
Title: Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning
Authors: Qingming Li, Juzheng Miao, Puning Zhao, Li Zhou, Shouling Ji, Bowen Zhou, Furui Liu
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[94]  arXiv:2405.13090 (cross-list from cs.LG) [pdf, other]
Title: FedASTA: Federated adaptive spatial-temporal attention for traffic flow prediction
Authors: Kaiyuan Li, Yihan Zhang, Xinlei Chen
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)
[95]  arXiv:2405.13043 (cross-list from physics.ao-ph) [pdf, ps, other]
Title: Towards Specialized Supercomputers for Climate Sciences: Computational Requirements of the Icosahedral Nonhydrostatic Weather and Climate Model
Authors: Torsten Hoefler, Alexandru Calotoiu, Anurag Dipankar, Thomas Schulthess, Xavier Lapillonne, Oliver Fuhrer
Subjects: Atmospheric and Oceanic Physics (physics.ao-ph); Hardware Architecture (cs.AR); Distributed, Parallel, and Cluster Computing (cs.DC); Computational Physics (physics.comp-ph)
[ total of 95 entries: 1-71 | 72-95 ]
[ showing 71 entries per page: fewer | more | all ]

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