arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Wang, Chen, Wei, Chu, Zhang, Sun, Zheng: Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-Temporal Graph Learning Method for Traffic Flow Forecasting https://arxiv.org/abs/2511.10434 https://arxiv.org/pdf/2511.10434 https://arxiv.org/html/2511.10434
November 14, 2025 at 6:34 AM
Wang, Chen, Wei, Chu, Zhang, Sun, Zheng: Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-Temporal Graph Learning Method for Traffic Flow Forecasting https://arxiv.org/abs/2511.10434 https://arxiv.org/pdf/2511.10434 https://arxiv.org/html/2511.10434
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Simo S\"arkk\"a, \'Angel F. Garc\'ia-Fern\'andez: On The Performance of Prefix-Sum Parallel Kalman Filters and Smoothers on GPUs https://arxiv.org/abs/2511.10363 https://arxiv.org/pdf/2511.10363 https://arxiv.org/html/2511.10363
November 14, 2025 at 6:52 AM
Simo S\"arkk\"a, \'Angel F. Garc\'ia-Fern\'andez: On The Performance of Prefix-Sum Parallel Kalman Filters and Smoothers on GPUs https://arxiv.org/abs/2511.10363 https://arxiv.org/pdf/2511.10363 https://arxiv.org/html/2511.10363
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Tom\'a\v{s} \v{C}\'i\v{z}ek, Martin Balko, Martin Schmid: Massively Parallel Proof-Number Search for Impartial Games and Beyond https://arxiv.org/abs/2511.10339 https://arxiv.org/pdf/2511.10339 https://arxiv.org/html/2511.10339
November 14, 2025 at 6:29 AM
Tom\'a\v{s} \v{C}\'i\v{z}ek, Martin Balko, Martin Schmid: Massively Parallel Proof-Number Search for Impartial Games and Beyond https://arxiv.org/abs/2511.10339 https://arxiv.org/pdf/2511.10339 https://arxiv.org/html/2511.10339
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Lorenzo, Giacomo, Andrea, Roberto, Marco, Franco: Pk-IOTA: Blockchain empowered Programmable Data Plane to secure OPC UA communications in Industry 4.0 https://arxiv.org/abs/2511.10248 https://arxiv.org/pdf/2511.10248 https://arxiv.org/html/2511.10248
November 14, 2025 at 6:30 AM
Lorenzo, Giacomo, Andrea, Roberto, Marco, Franco: Pk-IOTA: Blockchain empowered Programmable Data Plane to secure OPC UA communications in Industry 4.0 https://arxiv.org/abs/2511.10248 https://arxiv.org/pdf/2511.10248 https://arxiv.org/html/2511.10248
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Zhangcheng Feng, Defeng Sun, Yancheng Yuan, Guojun Zhang: dHPR: A Distributed Halpern Peaceman--Rachford Method for Non-smooth Distributed Optimization Problems https://arxiv.org/abs/2511.10069 https://arxiv.org/pdf/2511.10069 https://arxiv.org/html/2511.10069
November 14, 2025 at 6:40 AM
Zhangcheng Feng, Defeng Sun, Yancheng Yuan, Guojun Zhang: dHPR: A Distributed Halpern Peaceman--Rachford Method for Non-smooth Distributed Optimization Problems https://arxiv.org/abs/2511.10069 https://arxiv.org/pdf/2511.10069 https://arxiv.org/html/2511.10069
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang: SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data https://arxiv.org/abs/2511.09828 https://arxiv.org/pdf/2511.09828 https://arxiv.org/html/2511.09828
November 14, 2025 at 6:33 AM
Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang: SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data https://arxiv.org/abs/2511.09828 https://arxiv.org/pdf/2511.09828 https://arxiv.org/html/2511.09828
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Houming Wu, Ling Chen: TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training https://arxiv.org/abs/2511.09741 https://arxiv.org/pdf/2511.09741 https://arxiv.org/html/2511.09741
November 14, 2025 at 6:32 AM
Houming Wu, Ling Chen: TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training https://arxiv.org/abs/2511.09741 https://arxiv.org/pdf/2511.09741 https://arxiv.org/html/2511.09741
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Banhirup Sengupta, Peenal Gupta, Souvik Sengupta: Revisit to the Bai-Galbraith signature scheme https://arxiv.org/abs/2511.09582 https://arxiv.org/pdf/2511.09582 https://arxiv.org/html/2511.09582
November 14, 2025 at 6:29 AM
Banhirup Sengupta, Peenal Gupta, Souvik Sengupta: Revisit to the Bai-Galbraith signature scheme https://arxiv.org/abs/2511.09582 https://arxiv.org/pdf/2511.09582 https://arxiv.org/html/2511.09582
Changhai Man, Joongun Park, Hanjiang Wu, Huan Xu, Srinivas Sridharan, Tushar Krishna: Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs https://arxiv.org/abs/2511.10480 https://arxiv.org/pdf/2511.10480 https://arxiv.org/html/2511.10480
November 14, 2025 at 6:30 AM
Changhai Man, Joongun Park, Hanjiang Wu, Huan Xu, Srinivas Sridharan, Tushar Krishna: Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs https://arxiv.org/abs/2511.10480 https://arxiv.org/pdf/2511.10480 https://arxiv.org/html/2511.10480
Aarush Agarwal, Raymond He, Jan Kieseler, Matteo Cremonesi, Shah Rukh Qasim: FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing https://arxiv.org/abs/2511.10442 https://arxiv.org/pdf/2511.10442 https://arxiv.org/html/2511.10442
November 14, 2025 at 6:30 AM
Aarush Agarwal, Raymond He, Jan Kieseler, Matteo Cremonesi, Shah Rukh Qasim: FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing https://arxiv.org/abs/2511.10442 https://arxiv.org/pdf/2511.10442 https://arxiv.org/html/2511.10442
Leszek Sliwko, Vladimir Getov: Workload Schedulers -- Genesis, Algorithms and Differences https://arxiv.org/abs/2511.10258 https://arxiv.org/pdf/2511.10258 https://arxiv.org/html/2511.10258
November 14, 2025 at 6:30 AM
Leszek Sliwko, Vladimir Getov: Workload Schedulers -- Genesis, Algorithms and Differences https://arxiv.org/abs/2511.10258 https://arxiv.org/pdf/2511.10258 https://arxiv.org/html/2511.10258
Tao Tang, Youfu Jiang, Yingbo Cui, Jianbin Fang, Peng Zhang, Lin Peng, Chun Huang: Selection of Supervised Learning-based Sparse Matrix Reordering Algorithms https://arxiv.org/abs/2511.10180 https://arxiv.org/pdf/2511.10180 https://arxiv.org/html/2511.10180
November 14, 2025 at 6:30 AM
Tao Tang, Youfu Jiang, Yingbo Cui, Jianbin Fang, Peng Zhang, Lin Peng, Chun Huang: Selection of Supervised Learning-based Sparse Matrix Reordering Algorithms https://arxiv.org/abs/2511.10180 https://arxiv.org/pdf/2511.10180 https://arxiv.org/html/2511.10180
Jaime Sebastian Burbano, Arnova Abdullah, Eldiyar Zhantileuov, Mohan Liyanage, Rolf Schuster: Dynamic Edge Server Selection in Time-Varying Environments: A Reliability-Aware Predictive Approach https://arxiv.org/abs/2511.10146 https://arxiv.org/pdf/2511.10146 https://arxiv.org/html/2511.10146
November 14, 2025 at 6:30 AM
Jaime Sebastian Burbano, Arnova Abdullah, Eldiyar Zhantileuov, Mohan Liyanage, Rolf Schuster: Dynamic Edge Server Selection in Time-Varying Environments: A Reliability-Aware Predictive Approach https://arxiv.org/abs/2511.10146 https://arxiv.org/pdf/2511.10146 https://arxiv.org/html/2511.10146
Mani Tofigh, Edward Guo, Weiwei Jia, Xiaoning Ding, Jianchen Shan: Optimizing CPU Cache Utilization in Cloud VMs with Accurate Cache Abstraction https://arxiv.org/abs/2511.09956 https://arxiv.org/pdf/2511.09956 https://arxiv.org/html/2511.09956
November 14, 2025 at 6:30 AM
Mani Tofigh, Edward Guo, Weiwei Jia, Xiaoning Ding, Jianchen Shan: Optimizing CPU Cache Utilization in Cloud VMs with Accurate Cache Abstraction https://arxiv.org/abs/2511.09956 https://arxiv.org/pdf/2511.09956 https://arxiv.org/html/2511.09956
Marco Kurzynski, Shaizeen Aga, Di Wu: Lit Silicon: A Case Where Thermal Imbalance Couples Concurrent Execution in Multiple GPUs https://arxiv.org/abs/2511.09861 https://arxiv.org/pdf/2511.09861 https://arxiv.org/html/2511.09861
November 14, 2025 at 6:30 AM
Marco Kurzynski, Shaizeen Aga, Di Wu: Lit Silicon: A Case Where Thermal Imbalance Couples Concurrent Execution in Multiple GPUs https://arxiv.org/abs/2511.09861 https://arxiv.org/pdf/2511.09861 https://arxiv.org/html/2511.09861
Zhao, Shi, Zhang, Su, Yin, Cui, Sun, He, Chen, Dong, Li, Wang, Ma, Huang, Liu, Wang, Wei: MoFa: A Unified Performance Modeling Framework for LLM Pretraining https://arxiv.org/abs/2511.09837 https://arxiv.org/pdf/2511.09837 https://arxiv.org/html/2511.09837
November 14, 2025 at 6:30 AM
Zhao, Shi, Zhang, Su, Yin, Cui, Sun, He, Chen, Dong, Li, Wang, Ma, Huang, Liu, Wang, Wei: MoFa: A Unified Performance Modeling Framework for LLM Pretraining https://arxiv.org/abs/2511.09837 https://arxiv.org/pdf/2511.09837 https://arxiv.org/html/2511.09837
Ramesh Adhikari, Costas Busch, Pavan Poudel: A Poly-Log Approximation for Transaction Scheduling in Fog-Cloud Computing and Beyond https://arxiv.org/abs/2511.09776 https://arxiv.org/pdf/2511.09776 https://arxiv.org/html/2511.09776
November 14, 2025 at 6:30 AM
Ramesh Adhikari, Costas Busch, Pavan Poudel: A Poly-Log Approximation for Transaction Scheduling in Fog-Cloud Computing and Beyond https://arxiv.org/abs/2511.09776 https://arxiv.org/pdf/2511.09776 https://arxiv.org/html/2511.09776
Michael Dang'ana, Yuqiu Zhang, Hans-Arno Jacobsen: Ksurf-Drone: Attention Kalman Filter for Contextual Bandit Optimization in Cloud Resource Allocation https://arxiv.org/abs/2511.09766 https://arxiv.org/pdf/2511.09766 https://arxiv.org/html/2511.09766
November 14, 2025 at 6:30 AM
Michael Dang'ana, Yuqiu Zhang, Hans-Arno Jacobsen: Ksurf-Drone: Attention Kalman Filter for Contextual Bandit Optimization in Cloud Resource Allocation https://arxiv.org/abs/2511.09766 https://arxiv.org/pdf/2511.09766 https://arxiv.org/html/2511.09766
[2025-11-14 Fri (UTC), 10 new articles found for csDC Distributed, Parallel, and Cluster Computing]
November 14, 2025 at 6:30 AM
[2025-11-14 Fri (UTC), 10 new articles found for csDC Distributed, Parallel, and Cluster Computing]
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Jiaping Cao, Ting Sun, Man Lung Yiu, Xiao Yan, Bo Tang: CheetahGIS: Architecting a Scalable and Efficient Streaming Spatial Query Processing System https://arxiv.org/abs/2511.09262 https://arxiv.org/pdf/2511.09262 https://arxiv.org/html/2511.09262
November 13, 2025 at 6:30 AM
Jiaping Cao, Ting Sun, Man Lung Yiu, Xiao Yan, Bo Tang: CheetahGIS: Architecting a Scalable and Efficient Streaming Spatial Query Processing System https://arxiv.org/abs/2511.09262 https://arxiv.org/pdf/2511.09262 https://arxiv.org/html/2511.09262
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Hiro Ishii, Kenta Niwa, Hiroshi Sawada, Akinori Fujino, Noboru Harada, Rio Yokota: FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters https://arxiv.org/abs/2511.09100 https://arxiv.org/pdf/2511.09100 https://arxiv.org/html/2511.09100
November 13, 2025 at 6:33 AM
Hiro Ishii, Kenta Niwa, Hiroshi Sawada, Akinori Fujino, Noboru Harada, Rio Yokota: FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters https://arxiv.org/abs/2511.09100 https://arxiv.org/pdf/2511.09100 https://arxiv.org/html/2511.09100
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
Parsa Hedayatnia, Tina Tavakkoli, Hadi Amini, Mohammad Allahbakhsh, Haleh Amintoosi: Attack-Centric by Design: A Program-Structure Taxonomy of Smart Contract Vulnerabilities https://arxiv.org/abs/2511.09051 https://arxiv.org/pdf/2511.09051 https://arxiv.org/html/2511.09051
November 13, 2025 at 6:30 AM
Parsa Hedayatnia, Tina Tavakkoli, Hadi Amini, Mohammad Allahbakhsh, Haleh Amintoosi: Attack-Centric by Design: A Program-Structure Taxonomy of Smart Contract Vulnerabilities https://arxiv.org/abs/2511.09051 https://arxiv.org/pdf/2511.09051 https://arxiv.org/html/2511.09051
Singhania, Singh, Hough, Srivastava, Menon, Jekel, Bhatele: LLM Inference Beyond a Single Node: From Bottlenecks to Mitigations with Fast All-Reduce Communication https://arxiv.org/abs/2511.09557 https://arxiv.org/pdf/2511.09557 https://arxiv.org/html/2511.09557
November 13, 2025 at 6:30 AM
Singhania, Singh, Hough, Srivastava, Menon, Jekel, Bhatele: LLM Inference Beyond a Single Node: From Bottlenecks to Mitigations with Fast All-Reduce Communication https://arxiv.org/abs/2511.09557 https://arxiv.org/pdf/2511.09557 https://arxiv.org/html/2511.09557
Miroslav Popovic, Marko Popovic, Pavle Vasiljevic, Miodrag Djukic: Formal Verification of a Generic Algorithm for TDM Communication Over Inter Satellite Links https://arxiv.org/abs/2511.09485 https://arxiv.org/pdf/2511.09485 https://arxiv.org/html/2511.09485
November 13, 2025 at 6:30 AM
Miroslav Popovic, Marko Popovic, Pavle Vasiljevic, Miodrag Djukic: Formal Verification of a Generic Algorithm for TDM Communication Over Inter Satellite Links https://arxiv.org/abs/2511.09485 https://arxiv.org/pdf/2511.09485 https://arxiv.org/html/2511.09485
Lukas Gianinazzi, Tal Ben-Nun, Torsten Hoefler: SPADA: A Spatial Dataflow Architecture Programming Language https://arxiv.org/abs/2511.09447 https://arxiv.org/pdf/2511.09447 https://arxiv.org/html/2511.09447
November 13, 2025 at 6:30 AM
Lukas Gianinazzi, Tal Ben-Nun, Torsten Hoefler: SPADA: A Spatial Dataflow Architecture Programming Language https://arxiv.org/abs/2511.09447 https://arxiv.org/pdf/2511.09447 https://arxiv.org/html/2511.09447