Faveo H\"orold, et al.: Performance Portability Explained: Insights from accelerating ICON microphysics https://arxiv.org/abs/2611.14204 https://arxiv.org/pdf/2611.14204 https://arxiv.org/html/2611.14204

Zhikun Tao, Fangyong Jin, Junping Zhao: Can KV Cache Be Reused Across Model Updates? A DeepSeek-V4-Flash Case Study https://arxiv.org/abs/2611.14051 https://arxiv.org/pdf/2611.14051 https://arxiv.org/html/2611.14051

Yuliya Sasinskaya, Natalie Carl, Niklas Kowallik, David Bermbach: Energy-Proportional Serverless Computing on SBC Clusters https://arxiv.org/abs/2611.14026 https://arxiv.org/pdf/2611.14026 https://arxiv.org/html/2611.14026

Qi Luo, Ziwen Wang, Kunlin Li, Changxi Liu, Yun Chen: Scaling Shapley Energy Attribution to Large LLM Batches https://arxiv.org/abs/2611.13802 https://arxiv.org/pdf/2611.13802 https://arxiv.org/html/2611.13802

Goshgar Can Ismayilov: Multi-Objective Scheduling of LLM-Based Multi-Agent Workflows in Cloud Computing https://arxiv.org/abs/2611.13740 https://arxiv.org/pdf/2611.13740 https://arxiv.org/html/2611.13740

Jaeyong Song, Daniel Wang, Pratyush Patel, Jonny Kong, Preyas Shah, Shobhit Kanaujia: ForeSpark: Joint Draft and Verification Budget Scheduling for Parallel Speculative Decoding https://arxiv.org/abs/2611.13442 https://arxiv.org/pdf/2611.13442 https://arxiv.org/html/2611.13442

Wen Huang, Jack Liu: Placing LLM Lookup Tables by Per-Layer Prefetch Deadlines https://arxiv.org/abs/2611.13413 https://arxiv.org/pdf/2611.13413 https://arxiv.org/html/2611.13413

Wen Huang, Jack Liu: Bursts That Outlast Themselves: Persistent Degradation in Prefix-Cached Agent Serving https://arxiv.org/abs/2611.13412 https://arxiv.org/pdf/2611.13412 https://arxiv.org/html/2611.13412

Wen, Wang, Li, Chen, Li, Liu, Fan, Yan, Qu, Wang, Dumoulin: Plumbline: When the Loss Lies, Validating LLM Training Correctly https://arxiv.org/abs/2611.13393 https://arxiv.org/pdf/2611.13393 https://arxiv.org/html/2611.13393

Katarzyna (Kasia), Swirydowicz, Nicholas Malaya, Noah Wolfe, Paul Bauman, Pieter Ghysels, Jonathan Belof: FP64 Performance and the Limits of Ozaki Emulation on HPC Systems https://arxiv.org/abs/2611.13332 https://arxiv.org/pdf/2611.13332 https://arxiv.org/html/2611.13332

Komal Thareja, et al.: PegasusAI Studio: Legible Cyberinfrastructure and Accountable AI Agents for Scientific Workflows https://arxiv.org/abs/2611.13309 https://arxiv.org/pdf/2611.13309 https://arxiv.org/html/2611.13309

Susav Shrestha, Brad Settlemyer, Narasimha Reddy: Decode Token Parallelism: Memory-Efficient Distributed Attention Parallelism for Scalable LLM Decoding https://arxiv.org/abs/2611.13293 https://arxiv.org/pdf/2611.13293 https://arxiv.org/html/2611.13293

Li, Zhang, Biri, Chang, Korzh, Duvdevani, Xi, Stokes, Chen, Schneider, Polyakov, Demouth, Zhou: One-Sided Expert-Parallel All-to-All for Mixture-of-Experts Inference over NVLink https://arxiv.org/abs/2611.13188 https://arxiv.org/pdf/2611.13188 https://arxiv.org/html/2611.13188

Haoran Qiu, Rohan Mahapatra, Rodrigo Fonseca, Mark Russinovich: SHADOWPREFILL: Keeping Your Next Model Warm for Per-Step Model Routing in Agentic LLM Serving https://arxiv.org/abs/2611.13176 https://arxiv.org/pdf/2611.13176 https://arxiv.org/html/2611.13176

Zhen Wang (John), Bin Lin (John), Qiang (John), Ye, Haixia Peng: Two-Tier Task Offloading for Satellite-Assisted Marine Networks: A Hybrid Stackelberg-Bargaining Game Approach https://arxiv.org/abs/2611.13019 https://arxiv.org/pdf/2611.13019 https://arxiv.org/html/2611.13019

[2026-11-11 Wed (UTC), 15 new articles found for csDC Distributed, Parallel, and Cluster Computing]

[2026-11-10 Tue (UTC), no new articles found for csDC Distributed, Parallel, and Cluster Computing]

Jun Hatayama, Daichi Mukunoki, Yusuke Onishi, Atsushi Sekimoto, Toshinori Kouchi: Concurrent Use of FP32 and FP64 Computing Units on GPUs and Mixed-Precision Placement in WENO Reconstruction https://arxiv.org/abs/2611.09651 https://arxiv.org/pdf/2611.09651 https://arxiv.org/html/2611.09651

Maxime Gonthier, Luan Teylo, Francesco Antici, Mihail Popov, Francieli Boito: Fast and Actionable Classification of HPC I/O Time Series https://arxiv.org/abs/2611.09646 https://arxiv.org/pdf/2611.09646 https://arxiv.org/html/2611.09646

Wentao Gao, Omid Tavallaie, Albert Y. Zomaya: Towards Sustainable Federated Learning via Carbon-Aware Client Selection https://arxiv.org/abs/2611.09552 https://arxiv.org/pdf/2611.09552 https://arxiv.org/html/2611.09552

Yifei Liu, Junbin Pan, Junhao Hu, Yang Liu, Junyi Chen, Juntong Wu, Chen Chen, Haiyuan Zhao, Xiaoxu Chen, Weihang Chen: Nebula: Distributed Position-Independent Caching for LLM Serving https://arxiv.org/abs/2611.09474 https://arxiv.org/pdf/2611.09474 https://arxiv.org/html/2611.09474

Yuanhe Li, Jiazhen Wu, Dian Ding, Guangtao Xue, Yiming Zhang: DataHelix: A CPU-GPU Co-Scheduling Data Plane for Multimodal Model Training https://arxiv.org/abs/2611.09411 https://arxiv.org/pdf/2611.09411 https://arxiv.org/html/2611.09411

Nicolas Richart, Xavier Ouvrard, Julia Paolini, Manuel Cubero-Castan, Gilles Fourestey: Green500: Adventure in Qualifying a Cluster https://arxiv.org/abs/2611.09251 https://arxiv.org/pdf/2611.09251 https://arxiv.org/html/2611.09251

Maciej Besta, Leonard Schmidt, Pierre Pang, Patrik Okanovic, Robert Gerstenberger, Torsten Hoefler: RPEG: Training Reasoning Language Models Scalably and Cost-Effectively https://arxiv.org/abs/2611.09207 https://arxiv.org/pdf/2611.09207 https://arxiv.org/html/2611.09207

Yuhang Guan, Huanle Zhang, Xiaomin Ouyang, Zhidan Liu: UniExit: A Unified Latency-Aware Early-Exit Runtime for Heterogeneous Edge AI https://arxiv.org/abs/2611.09159 https://arxiv.org/pdf/2611.09159 https://arxiv.org/html/2611.09159

Weikang Wang, Haiyang Liu, Xin Zhou, Jun Liu, Weifeng Zhang: DARIC: A Position-Independent KV Cache Reuse System with Distribution-Aware Recomputation https://arxiv.org/abs/2611.09109 https://arxiv.org/pdf/2611.09109 https://arxiv.org/html/2611.09109

Le Zhang, Kailai Cui, Hao Chen, Vlad Roznyatovskiy, Jianzhong Zhang, Anhong Guo, Kang G. Shin, Ke Sun: EventHOI: Event-Driven Resource-Efficient Hand-Object Interaction Logging on Smartglasses https://arxiv.org/abs/2611.09089 https://arxiv.org/pdf/2611.09089 https://arxiv.org/html/2611.09089

Peng, Zhang, Duan, Sheng, Li, Rauch, Yang, Yang: ISER-MoE: Dynamic In-Switch Replication of Hot Experts for Load Balancing in Expert-Parallel https://arxiv.org/abs/2611.09008 https://arxiv.org/pdf/2611.09008 https://arxiv.org/html/2611.09008

Ren\'ee St. Amant, Anjaly Parayil, Ankur Mallick, Victor R\"uhle: Capital Efficiency, Isolation, Risk, and Ruin in Generative AI Inference Serving Infrastructure https://arxiv.org/abs/2611.08999 https://arxiv.org/pdf/2611.08999 https://arxiv.org/html/2611.08999

Jianuo Shen, Pengyi Xu, Bo Zhang: More with Less: Efficient Parallel Scientific Code Translation via an Agent-Skill Workflow https://arxiv.org/abs/2611.08947 https://arxiv.org/pdf/2611.08947 https://arxiv.org/html/2611.08947