arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Hengrui Zhang, Pratyush Patel, August Ning, David Wentzlaff: SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference https://arxiv.org/abs/2510.08544 https://arxiv.org/pdf/2510.08544 https://arxiv.org/html/2510.08544
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Yuanjun Dai, Keqiang He, An Wang: DYNAMIX: RL-based Adaptive Batch Size Optimization in Distributed Machine Learning Systems https://arxiv.org/abs/2510.08522 https://arxiv.org/pdf/2510.08522 https://arxiv.org/html/2510.08522
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Keshvi Tuteja, Gregor Olenik, Roman Mishchuk, Yu-Hsiang Tsai, Markus G\"otz, Achim Streit, Hartwig Anzt, Charlotte Debus: pyGinkgo: A Sparse Linear Algebra Operator Framework for Python https://arxiv.org/abs/2510.08230 https://arxiv.org/pdf/2510.08230 https://arxiv.org/html/2510.08230
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Gunjun Lee, Jiwon Kim, Jaiyoung Park, Younjoo Lee, Jung Ho Ahn: From Tokens to Layers: Redefining Stall-Free Scheduling for LLM Serving with Layered Prefill https://arxiv.org/abs/2510.08055 https://arxiv.org/pdf/2510.08055 https://arxiv.org/html/2510.08055
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Murtaza Rangwala, Farag Azzedin, Richard O. Sinnott, Rajkumar Buyya: SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening https://arxiv.org/abs/2510.07922 https://arxiv.org/pdf/2510.07922 https://arxiv.org/html/2510.07922
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Georgios Diamantopoulos, Nikos Tziritas, Rami Bahsoon, Georgios Theodoropoulos: Decentralised Blockchain Management Through Digital Twins https://arxiv.org/abs/2510.07901 https://arxiv.org/pdf/2510.07901 https://arxiv.org/html/2510.07901
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Yunbo Li, Jiaping Gui, Zhihang Deng, Fanchao Meng, Yue Wu: FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning https://arxiv.org/abs/2510.07664 https://arxiv.org/pdf/2510.07664 https://arxiv.org/html/2510.07664
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Gregor Olenik, Marcel Koch, Hartwig Anzt: Investigating Matrix Repartitioning to Address the Over- and Undersubscription Challenge for a GPU-based CFD Solver https://arxiv.org/abs/2510.08536 https://arxiv.org/pdf/2510.08536 https://arxiv.org/html/2510.08536
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Dominick Banasik, Varsha Dani, Fabien Dufoulon, Aayush Gupta, Thomas P. Hayes, Gopal Pandurangan: Energy-Efficient Maximal Independent Sets in Radio Networks https://arxiv.org/abs/2510.08244 https://arxiv.org/pdf/2510.08244 https://arxiv.org/html/2510.08244
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Natalie Carl, Tobias Pfandzelter, David Bermbach: Towards Energy-Efficient Serverless Computing with Hardware Isolation https://arxiv.org/abs/2510.08180 https://arxiv.org/pdf/2510.08180 https://arxiv.org/html/2510.08180
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Picone, Burattini, Melloni, Talasila, Ziglioli, Martinelli, Bicocchi, Ricci, Larsen: A Multi-Simulation Bridge for IoT Digital Twins https://arxiv.org/abs/2510.08164 https://arxiv.org/pdf/2510.08164 https://arxiv.org/html/2510.08164
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[2025-10-10 Fri (UTC), 6 new articles found for csDC Distributed, Parallel, and Cluster Computing]
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Mariona Jaramillo-Civill, Peng Wu, Pau Closas: DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering https://arxiv.org/abs/2510.07132 https://arxiv.org/pdf/2510.07132 https://arxiv.org/html/2510.07132
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Jan Fiszer, Dominika Ciupek, Maciej Malawski: Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity? https://arxiv.org/abs/2510.07126 https://arxiv.org/pdf/2510.07126 https://arxiv.org/html/2510.07126
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Vasileios Titopoulos, Kosmas Alexandridis, Giorgos Dimitrakopoulos: Vectorized FlashAttention with Low-cost Exponential Computation in RISC-V Vector Processors https://arxiv.org/abs/2510.06834 https://arxiv.org/pdf/2510.06834 https://arxiv.org/html/2510.06834
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Debendra Das Sharma, Swadesh Choudhary, Peter Onufryk, Rob Pelt: On-Package Memory with Universal Chiplet Interconnect Express (UCIe): A Low Power, High Bandwidth, Low Latency and Low Cost Ap... https://arxiv.org/abs/2510.06513 https://arxiv.org/pdf/2510.06513 https://arxiv.org/html/2510.06513
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Pfeffer, Kruijssen, Gossart, Chevance, Millan, Stecker, Longmore: Context-Aware Inference via Performance Forecasting in Decentralized Learning Networks https://arxiv.org/abs/2510.06444 https://arxiv.org/pdf/2510.06444 https://arxiv.org/html/2510.06444
Reposted by arXiv cs.DC Distributed, Parallel, and Cluster Computing
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Jason Han, Nicholas S. DiBrita, Daniel Leeds, Jianqiang Li, Jason Ludmir, Tirthak Patel: Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus https://arxiv.org/abs/2510.06228 https://arxiv.org/pdf/2510.06228 https://arxiv.org/html/2510.06228
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Martin Wilhelm, Franz Freitag, Max Tzschoppe, Thilo Pionteck: Evaluating Rapid Makespan Predictions for Heterogeneous Systems with Programmable Logic https://arxiv.org/abs/2510.06998 https://arxiv.org/pdf/2510.06998 https://arxiv.org/html/2510.06998
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Ayesha Afzal, Anna Kahler, Georg Hager, Gerhard Wellein: GROMACS Unplugged: How Power Capping and Frequency Shapes Performance on GPUs https://arxiv.org/abs/2510.06902 https://arxiv.org/pdf/2510.06902 https://arxiv.org/html/2510.06902
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Boris Sedlak, Philipp Raith, Andrea Morichetta, V\'ictor Casamayor Pujol, Schahram Dustdar: Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices https://arxiv.org/abs/2510.06882 https://arxiv.org/pdf/2510.06882 https://arxiv.org/html/2510.06882
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Xu Bai, Muhammed Tawfiqul Islam, Rajkumar Buyya, Adel N. Toosi: REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum https://arxiv.org/abs/2510.06675 https://arxiv.org/pdf/2510.06675 https://arxiv.org/html/2510.06675
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Raaghav Ravishankar, Sandeep Kulkarni, Nitin H Vaidya: MuFASA -- Asynchronous Checkpoint for Weakly Consistent Fully Replicated Databases https://arxiv.org/abs/2510.06404 https://arxiv.org/pdf/2510.06404 https://arxiv.org/html/2510.06404