Distributed and Cluster Computing

Papers filed under cs.DC on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,261 to 1,320 of 1,804

Performance Study of Serverless Workloads in Confidential Virtual Machines
Rikesh Niroula, Jianchen Shan, Xiaoning Ding
cs.DCarXiv:2609.04478v12026
Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
Leszek Sliwko, Jolanta Mizeria-Pietraszko
cs.AIcs.DCcs.LGarXiv:2601.09282v22026
Accelerating Sparse Linear Solvers in OpenFOAM using RISC-V Vector Extensions
Gabriele Ceccolini, Federico Ficarelli, Filippo Barbari +2
cs.DCarXiv:2609.05429v12026
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
Qiong Wu, Xu Chen, Zhi Zhou +2
cs.NIcs.AIcs.DCarXiv:2101.08391v12021
Crossflow: Prefill-Decode Elasticity for Agentic LLM Serving
Yi Xu, Ehsan K. Ardestani, Wenyin Fu +7
cs.DCcs.AIcs.LGarXiv:2609.27085v12026
CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization
Zijian Zhang, Rong Wang, Shiyang Li +3
cs.LGcs.AIcs.CLarXiv:2511.01884v22025
Best bang for your buck: GPU nodes for GROMACS biomolecular simulations
Carsten Kutzner, Szilárd Páll, Martin Fechner +3
cs.DCcs.PFphysics.bio-pharXiv:1507.00898v12015
Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters
Eashan Gupta, Yongzhou Chen, Apoorve Mohan +3
cs.NIcs.DCcs.LGarXiv:2609.04417v12026
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
Qinghao Hu, Peng Sun, Shengen Yan +2
cs.DCcs.LGarXiv:2109.01313v22021
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao +1
cs.DCcs.LGeess.SYarXiv:1509.02597v22015
Towards Personalized Federated Learning
Alysa Ziying Tan, Han Yu, Lizhen Cui +1
cs.LGcs.AIcs.DCarXiv:2103.00710v32021
Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study
Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul +20
cs.LGcs.CVcs.DCarXiv:2609.36001v12026
Tighter Theory for Local SGD on Identical and Heterogeneous Data
Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
cs.LGcs.DCmath.NAarXiv:1909.04746v42019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Debraj Basu, Deepesh Data, Can Karakus +1
stat.MLcs.DCcs.LGarXiv:1906.02367v22019
Collaborative Fairness in Federated Learning
Lingjuan Lyu, Xinyi Xu, Qian Wang
cs.LGcs.DCstat.MLarXiv:2008.12161v22020
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu +3
cs.LGcs.CVcs.DCarXiv:2106.05001v22021
What Bloats Your Floats? Right-Sizing Numerical Precision for Scientific Computing
Pratyai Mazumder, Alexandru Calotoiu, Marcin Copik +3
cs.DCarXiv:2610.09089v12026
Coresets Meet EDCS: Algorithms for Matching and Vertex Cover on Massive Graphs
Sepehr Assadi, MohammadHossein Bateni, Aaron Bernstein +2
cs.DScs.DCarXiv:1711.03076v32017
Architectural Patterns for the Design of Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Liming Zhu +3
cs.LGcs.DCcs.SEarXiv:2101.02373v32021
The Future is Big Graphs! A Community View on Graph Processing Systems
Sherif Sakr, Angela Bonifati, Hannes Voigt +38
cs.DCcs.DBarXiv:2012.06171v12020
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines
Shigang Li, Torsten Hoefler
cs.DCcs.LGarXiv:2107.06925v52021
Dependency- and Layer-Aware Microservice Workflow Offloading and Service Image Caching for Edge Environments
Zhongxiao Wang, Yueshen Xu, Qingshan Li +4
cs.DCarXiv:2609.28943v12026
Fast O(1) bilateral filtering using trigonometric range kernels
Kunal Narayan Chaudhury, Daniel Sage, Michael Unser
cs.CVcs.CEcs.DCarXiv:1105.4204v32011
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Fuzhao Xue, Zian Zheng, Yao Fu +4
cs.CLcs.AIcs.DCarXiv:2402.01739v22024
Summaries:简体中文
Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case
Jie Lu, Choon Yik Tang
eess.SYcs.DCmath.OCarXiv:1104.5422v32011
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
Zhongzhu Zhou, Donglin Zhuang, Jisen Li +4
cs.LGcs.AIcs.DCarXiv:2605.17757v12026
Summaries:한국어
Arabesque: A System for Distributed Graph Mining - Extended version
Carlos H. C. Teixeira, Alexandre J. Fonseca, Marco Serafini +3
cs.DCarXiv:1510.04233v12015
Distributed Service Orchestration in Edge-Cloud Continuum for Digital Healthcare
Johirul Islam, Hafiz Faheem Shahid, Ijaz Ahmad +3
cs.DCarXiv:2609.28855v12026
TrafficFab: An Autonomic Edge-Cloud Testbed Fabric forAI-Driven Traffic Management
Mayank Arya, Pranjal Naman, Priyanshu Pansari +5
cs.DCarXiv:2609.29223v12026
DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized Batching
Jingpo Xu, Paul Joe Maliakel, Ivona Brandic +1
cs.DCcs.AIcs.LGarXiv:2610.08268v12026
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
Lingjiao Chen, Hongyi Wang, Zachary Charles +1
stat.MLcs.DCcs.ITarXiv:1803.09877v42018
Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure
Ingo Müller, Renato Marroquín, Gustavo Alonso
cs.DBcs.DCarXiv:1912.00937v12019
The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser
Onur Mutlu
cs.DCarXiv:1703.00626v12017
Silent Data Corruptions at Scale
Harish Dattatraya Dixit, Sneha Pendharkar, Matt Beadon +4
cs.ARcs.DCarXiv:2102.11245v12021
ContinuumBench: Benchmarking Joint Autoscaling and Placement Across Evaluation Regimes in the Cloud-Edge Continuum
Lanpei Li, Antonino Vaccarella, Vincenzo Lomonaco +1
cs.DCarXiv:2609.08946v12026
Consensus with Stochastic Broadcast
Pierre Fraigniaud, Boaz Patt-Shamir, Sergio Rajsbaum
cs.DCarXiv:2608.27336v12026
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane +6
cs.PLcs.DCcs.MSarXiv:1804.10694v52018
Costless: Optimizing Cost of Serverless Computing through Function Fusion and Placement
Tarek Elgamal, Atul Sandur, Klara Nahrstedt +1
cs.DCarXiv:1811.09721v12018
Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents
Abolfazl Younesi
cs.AIcs.DCcs.ETarXiv:2610.07816v12026
Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
Bassel Soudan, Sohail Abbas, Ahmed Kubba +2
cs.DCcs.AIarXiv:2609.15681v12026
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis
Albert Reuther, Jeremy Kepner, Chansup Byun +15
cs.DCarXiv:1807.07814v12018
LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices
Junchen Zhao, Yurun Song, Simeng Liu +2
cs.LGcs.DCcs.NIarXiv:2312.00388v12023
A Survey on Network Codes for Distributed Storage
Alexandros G. Dimakis, Kannan Ramchandran, Yunnan Wu +1
cs.ITcs.DCcs.NIarXiv:1004.4438v12010
Can AI Remediate Backend Failures Safely? GuardedAct with Blast-Radius-Aware Sandboxing
Wanrong Cai, Tianyu Yu, Shaorui Pi +2
cs.DCcs.SEarXiv:2609.11264v12026
ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production
Yuxing Xiang, Xue Li, Kun Qian +3
cs.DCarXiv:2505.09999v32025
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger, Chong Wang, Eric Xing
stat.MLcs.DCcs.LGarXiv:1311.4780v22013
Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions
Yue Li, Sudip Bhujel, Cameron Lira +2
cs.DCcs.CRcs.LGarXiv:2608.22552v12026
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
Qian Yu, Mohammad Ali Maddah-Ali, A. Salman Avestimehr
cs.ITcs.DCarXiv:1705.10464v22017
Repairing Multiple Failures with Coordinated and Adaptive Regenerating Codes
Anne-Marie Kermarrec, Gilles Straub, Nicolas Le Scouarnec
cs.ITcs.DCarXiv:1102.0204v32011
Actor Model of Computation: Scalable Robust Information Systems
Carl Hewitt
cs.PLcs.DCarXiv:1008.1459v382010
ECAS: An Edge-Controlled Agentic System for Validation-Gated Scientific Application Execution
Baixi Sun, Mingze Xia, Huihuo Zheng
cs.DCcs.AIarXiv:2609.14211v12026
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu
cs.LGcs.AIcs.CRarXiv:2211.07893v22022
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
Paras Jain, Ajay Jain, Aniruddha Nrusimha +5
cs.LGcs.CVcs.DCarXiv:1910.02653v32019
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala +1
cs.DCcs.LGcs.OSarXiv:2007.06775v32020
Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration
Xiao Ma, Hong Shen, Hui Tian +2
cs.LGcs.DCarXiv:2609.07230v12026
FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study
Sai Puppala, Koushik Sinha
cs.AIcs.DCcs.ETarXiv:2609.00875v12026
Some Observations on Optimal Frequency Selection in DVFS-based Energy Consumption Minimization
Nikzad Babaii Rizvandi, Javid Taheri, Albert Y. Zomaya
cs.DCcs.PFarXiv:1201.1695v12012
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
Horia Mania, Xinghao Pan, Dimitris Papailiopoulos +3
stat.MLcs.DCcs.DSarXiv:1507.06970v22015
Don't Be Afraid to Die: Black Hole Search in Dynamic Graphs with Fewer Agents
Kass Bileski, Avery Miller
cs.DCcs.DSarXiv:2609.06850v12026
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
Sohei Itahara, Takayuki Nishio, Yusuke Koda +2
cs.DCcs.LGarXiv:2008.06180v22020

Distributed and Cluster Computing

Performance Study of Serverless Workloads in Confidential Virtual Machines

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing

Accelerating Sparse Linear Solvers in OpenFOAM using RISC-V Vector Extensions

Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control

Crossflow: Prefill-Decode Elasticity for Agentic LLM Serving

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

Best bang for your buck: GPU nodes for GROMACS biomolecular simulations

Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters

Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters

Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis

Towards Personalized Federated Learning

Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study

Tighter Theory for Local SGD on Identical and Heterogeneous Data

Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations

Collaborative Fairness in Federated Learning

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

What Bloats Your Floats? Right-Sizing Numerical Precision for Scientific Computing

Coresets Meet EDCS: Algorithms for Matching and Vertex Cover on Massive Graphs

Architectural Patterns for the Design of Federated Learning Systems

The Future is Big Graphs! A Community View on Graph Processing Systems

Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines

Dependency- and Layer-Aware Microservice Workflow Offloading and Service Image Caching for Edge Environments

Fast O(1) bilateral filtering using trigonometric range kernels

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization

Arabesque: A System for Distributed Graph Mining - Extended version

Distributed Service Orchestration in Edge-Cloud Continuum for Digital Healthcare

TrafficFab: An Autonomic Edge-Cloud Testbed Fabric forAI-Driven Traffic Management

DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized Batching

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure

The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser

Silent Data Corruptions at Scale

ContinuumBench: Benchmarking Joint Autoscaling and Placement Across Evaluation Regimes in the Cloud-Edge Continuum

Consensus with Stochastic Broadcast

Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code

Costless: Optimizing Cost of Serverless Computing through Function Fusion and Placement

Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents

Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis

Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices

A Survey on Network Codes for Distributed Storage

Can AI Remediate Backend Failures Safely? GuardedAct with Blast-Radius-Aware Sandboxing

ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production

Asymptotically Exact, Embarrassingly Parallel MCMC

Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions

Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication

Repairing Multiple Failures with Coordinated and Adaptive Regenerating Codes

Actor Model of Computation: Scalable Robust Information Systems

ECAS: An Edge-Controlled Agentic System for Validation-Gated Scientific Application Execution

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

Analyzing and Mitigating Data Stalls in DNN Training

Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

Some Observations on Optimal Frequency Selection in DVFS-based Energy Consumption Minimization

Perturbed Iterate Analysis for Asynchronous Stochastic Optimization

Don't Be Afraid to Die: Black Hole Search in Dynamic Graphs with Fewer Agents

Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data