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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1,441 to 1,500 of 1,785

RESOLVE: Language-Agnostic Validation of GPU Kernels Through Testing, Reduction, and Proof
Ashkan Vedadi Gargary, Guido Martínez, Sebastian Burckhardt +4
cs.PLcs.DCcs.LGarXiv:2610.05683v12026
mKernel: Fast Multi-GPU, Multi-Node Fused Kernels
Ziming Mao, Yihan Zhang, Shawn Wei Chew +5
cs.DCcs.AIcs.LGarXiv:2609.13585v12026
A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching
Jerry Adams Franklin
cs.LGcs.AIcs.DCarXiv:2609.13512v22026
Automatically Detecting and Fixing Deadlocks in Go Code with GoDDaR
Gustavo Feio, Jorge Coelho, Miguel Flor +2
cs.PLcs.DCcs.SEarXiv:2610.08962v12026
Hybrid Monitoring for Early Fault Detection in Cloud-Native 5G Systems
Anton Andersson, Sai Akshara Naineni, Mats Jansborg +2
cs.NIcs.DCarXiv:2609.12649v12026
ForgeMegakernel: A General Framework for Efficient Auto-Regressive Model Decode Megakernels
Leshan Li, Zhui Zhu, Xianglong Deng +6
cs.DCarXiv:2609.12379v12026
Unleashing the Power of Equality Saturation for Tensor Program Superoptimization
Qi Zhan, Xing Hu, Xin Xia +1
cs.DCarXiv:2609.12330v12026
A Feature-Rich Embedded NIDS with eBPF/XDP: Detector and Architecture Trade-offs
Shiqi Wu, Oleksii Koshovyi, Georgios Pseiridis Pseiras +2
cs.CRcs.DCcs.NIarXiv:2609.12605v12026
Dissecting GPU Utilization for LLM Inference on Nvidia Hopper
Mohammad Siavashi, Gerald Q. Maguire Jr., Dejan Kostic +1
cs.PFcs.ARcs.DCarXiv:2609.12923v12026
HoliBench: A Cross-Platform Benchmarking and Deployment Toolkit for Foundation Models in CPS-IoT Applications
Inesh Chakrabarti, Zejun Xiong, Pragya Sharma +1
cs.DCcs.LGcs.PFarXiv:2609.12412v12026
Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning
Satwat Bashir, Tasos Dagiuklas
cs.LGcs.DCarXiv:2609.12903v12026
4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling
Deifilia Kieckhefen, Juan Pedro Gutiérrez Hermosillo Muriedas, Lars Helge Heyen +12
physics.ao-phcs.AIcs.DCarXiv:2609.12815v12026
A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems
Tao Chen, Rami Bahsoon, Xin Yao
cs.SEcs.DCarXiv:1609.03590v42016
Efficient Vision-Language-Action Management and Serving for Robot Factories
Dionysios Adamopoulos, Nattapol Chanpaisit, Basel Fakhri +1
cs.DCcs.ARcs.LGarXiv:2609.12075v12026
Image Classification at Supercomputer Scale
Chris Ying, Sameer Kumar, Dehao Chen +2
cs.LGcs.DCstat.MLarXiv:1811.06992v22018
Rethinking Sparse Formats for RISC-V: A Hierarchical Approach to High-Performance SpMV
Anna Pirova, Anastasia Vodeneeva, Konstantin Kovalev +7
cs.DCcs.PFarXiv:2609.11352v12026
LLM Agents as Resilience Engineers for Scientific Applications
Hai Duc Nguyen, Tekin Bicer, Kyle Chard +2
cs.DCarXiv:2610.11260v12026
Design Principles for Sparse Matrix Multiplication on the GPU
Carl Yang, Aydin Buluc, John D. Owens
cs.DCarXiv:1803.08601v22018
Democratizing MoE inference on commodity GPUs with CoMoE
Ruwen Fan, Yuezhi Zu, Junru Li +5
cs.DCcs.LGarXiv:2610.09424v12026
Avatar: Toward Autonomous End-to-End Orchestration of Scientific Workflows using LLMs
Suman Raj, Hai Duc Nguyen, Haochen Pan +3
cs.DCcs.MAarXiv:2609.10509v12026
Epoch: Compiling Diffusion Blocks for Sparse MoE Serving
Jianian Zhu, Hang Wu, Yinghui Li +3
cs.DCarXiv:2609.09748v12026
SUSpMV: A High Frequency Sparse Matrix Vector Multiplier on HBM Enabled FPGA written in SUS
Lennart Van Hirtum, David Volz, Andreas Koch +1
cs.ARcs.DCarXiv:2610.10403v12026
Expert Coupling in MoE Pretraining: Reducing All-to-All Overhead with Correlated Placement and Token Shuffling
Radha Gulhane, Quentin Anthony, Beren Millidge
cs.CLcs.DCarXiv:2610.09372v12026
AeroEval: Staged Program and Execution Validation for AI-Generated Drone Missions
Kautuk Astu, Naina Rabha, Yogesh Simmhan
cs.ROcs.DCarXiv:2610.09764v12026
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization
Pascal Bianchi, Walid Hachem, Franck Iutzeler
math.OCcs.DCcs.NAarXiv:1407.0898v32014
LOCAA: An Agentic System for Automated Lossy Compressor Tuning
Khondoker Mirazul Mumenin, Dong Dai, Sheng Di +2
cs.DCarXiv:2610.10487v12026
Exploring the Genesis Platform Capabilities to Accelerate Scientific Discovery in OPAL
Daniel Rosendo, Renan Souza, Kelsey Carter +5
cs.DCarXiv:2609.08844v12026
SemBridge: Compiling Consumer Observations into Cross-Stack Communication Plans
Genlang Chen, Junyi Zhu, Yuanshan Lin
cs.DCarXiv:2609.08231v12026
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation
David Dao, Dan Alistarh, Claudiu Musat +1
cs.ETcs.AIcs.DBarXiv:1802.04780v12018
Real-Time dApps for AI-RAN: Measured Interface Requirements for Inline PHY and Slot-Level Control
Timothy O'Shea, Matthew Pennybacker, Andriy Kharchenko
cs.NIcs.DCeess.SParXiv:2609.07805v12026
TRANSIT: Transparent Scale-in for Multi-Node LLM Training
Hyungyo Kim, Nicholas Satchanov, Hrishi Shah +9
cs.DCcs.ARarXiv:2610.07593v12026
A Private IPFS Data Sanctuary for Verifiable Digital Collection Objects
Joachim Snellings, Jasper Funk-Smit, Margot Belot +4
cs.DCcs.NIarXiv:2610.07970v12026
Scalability Analysis of Distributed Kolmogorov-Arnold Network Training on High-Performance Computing Systems
Guangneng Chen, David Garcia Selfa, Pablo Quesada Barriuso
cs.DCcs.LGcs.PFarXiv:2609.07740v12026
Cross-chain Deals and Adversarial Commerce
Maurice Herlihy, Barbara Liskov, Liuba Shrira
cs.DCarXiv:1905.09743v52019
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training
Liang Luo, Jacob Nelson, Luis Ceze +2
cs.DCcs.LGcs.NEarXiv:1805.07891v22018
A HIP-Compatible Accelerator Backend for Fourier-Bessel Particle-in-Cell Simulations on CPU/DCU Heterogeneous Clusters
Jingliang Fan, Ruiqing He, Yang Wan +3
physics.comp-phcs.DCarXiv:2609.06680v12026
EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment
Minxian Xu, Chenghao Song, Huaming Wu +3
cs.DCarXiv:2203.02684v12022
FedMultimodal: A Benchmark For Multimodal Federated Learning
Tiantian Feng, Digbalay Bose, Tuo Zhang +6
cs.DCcs.LGarXiv:2306.09486v22023
Quantifying the Availability of TV White Spaces for Cognitive Radio Operation in the UK
Maziar Nekovee
cs.NIcs.DCarXiv:0906.3394v12009
Kirin: Cloud-native WebAssembly Service Orchestration
Joshua Bauer, Sebastian Werner, Maria C. Borges
cs.DCarXiv:2609.39631v12026
Pushing CPU Speech Synthesis to the Wall: Extreme Inference Tuning under Serverless Architecture and Billing
Pakorn Nathong, Kunat Pipatanakul
cs.DCcs.AIcs.CLarXiv:2610.00063v12026
Sharpedo: Dual-Mode Uncertified DAG-Based Consensus Protocol
Zeno de Angeli
cs.DCarXiv:2609.05580v12026
Workload Schedulers -- Genesis, Algorithms and Differences
Leszek Sliwko, Vladimir Getov
cs.DCcs.AIarXiv:2511.10258v12025
Accelerating Atom Simulations with Variable-Block Sparse Matrix Library
Zhanghao Zhouyin, Hong Guo
cond-mat.mtrl-scics.DCquant-pharXiv:2609.04397v12026
Ganga: a tool for computational-task management and easy access to Grid resources
J. T. Mościcki, F. Brochu, J. Ebke +17
cs.DCarXiv:0902.2685v22009
A Survey of Blockchain Applications in Different Domains
Wubing Chen, Zhiying Xu, Shuyu Shi +2
cs.CRcs.CYcs.DCarXiv:1911.02013v12019
WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs
Mauricio Fadel Argerich, Jonathan Fürst, Marta Patiño-Martínez
cs.DCcs.LGarXiv:2607.02391v12026
Watt Counts: Energy-Aware Benchmark for Sustainable LLM Inference on Heterogeneous GPU Architectures
Mauricio Fadel Argerich, Jonathan Fürst, Marta Patiño-Martínez
cs.DCcs.AIarXiv:2604.09048v12026
A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing
Tianchu Zhao, Sheng Zhou, Xueying Guo +2
cs.NIcs.DCarXiv:1511.08540v12015
Towards Efficient HPC Systems for Agents: Challenges and Opportunities
Yunjia Zheng, Bintang Dwi Marthen, Zachary Pan +5
cs.DCarXiv:2609.38723v12026
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang, Chen Chen, Jingtao Li +3
cs.LGcs.AIcs.DCarXiv:2306.15546v32023
Taming Speculative Search for Test-Time Scaling in LLM Serving
Jinwoo Jeong, Woohyung Choi, Myeongjae Jeon +1
cs.DCcs.CLcs.OSarXiv:2609.39334v12026
An In-Depth Analysis of the Slingshot Interconnect
Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon +2
cs.DCcs.NIcs.PFarXiv:2008.08886v12020
LatencyLab: A DPDK-Based P4 Pipeline Latency Measurement Framework for FPGA SmartNICs
Pavani Kuppili, Zhaoyang Han, Yicheng Qian +4
cs.DCarXiv:2609.39978v12026
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Kevin Song, Anand Jayarajan, Yaoyao Ding +4
cs.MAcs.DCarXiv:2508.19504v12025
LLM Inference Serving: Survey of Recent Advances and Opportunities
Baolin Li, Yankai Jiang, Vijay Gadepally +1
cs.DCcs.AIarXiv:2407.12391v12024
Fleets Need a Context Plane: Rethinking Cooperative Perception for Autonomous Drones
Liangkai Liu, Xiaoxiao Wu
cs.ROcs.DCcs.ETarXiv:2609.00659v12026
Valori: A Deterministic Memory Substrate for AI Systems
Varshith Gudur
cs.LGcs.AIcs.DBarXiv:2512.22280v12025
FP64 Is All You Want, INT8 Is All You Need, FP4/6/8 Is All You Have
Pratyai Mazumder, Alexandru Calotoiu, Torsten Hoefler
cs.DCarXiv:2609.37693v12026
Comparison of Algebraic Block Multi-Coloring and Leiden Methods for Parallel Preconditioning in the ICCG Method
Tomohiro Suzuki
cs.DCmath.NAarXiv:2609.00561v12026

Distributed and Cluster Computing

RESOLVE: Language-Agnostic Validation of GPU Kernels Through Testing, Reduction, and Proof

mKernel: Fast Multi-GPU, Multi-Node Fused Kernels

A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching

Automatically Detecting and Fixing Deadlocks in Go Code with GoDDaR

Hybrid Monitoring for Early Fault Detection in Cloud-Native 5G Systems

ForgeMegakernel: A General Framework for Efficient Auto-Regressive Model Decode Megakernels

Unleashing the Power of Equality Saturation for Tensor Program Superoptimization

A Feature-Rich Embedded NIDS with eBPF/XDP: Detector and Architecture Trade-offs

Dissecting GPU Utilization for LLM Inference on Nvidia Hopper

HoliBench: A Cross-Platform Benchmarking and Deployment Toolkit for Foundation Models in CPS-IoT Applications

Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning

4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling

A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems

Efficient Vision-Language-Action Management and Serving for Robot Factories

Image Classification at Supercomputer Scale

Rethinking Sparse Formats for RISC-V: A Hierarchical Approach to High-Performance SpMV

LLM Agents as Resilience Engineers for Scientific Applications

Design Principles for Sparse Matrix Multiplication on the GPU

Democratizing MoE inference on commodity GPUs with CoMoE

Avatar: Toward Autonomous End-to-End Orchestration of Scientific Workflows using LLMs

Epoch: Compiling Diffusion Blocks for Sparse MoE Serving

SUSpMV: A High Frequency Sparse Matrix Vector Multiplier on HBM Enabled FPGA written in SUS

Expert Coupling in MoE Pretraining: Reducing All-to-All Overhead with Correlated Placement and Token Shuffling

AeroEval: Staged Program and Execution Validation for AI-Generated Drone Missions

A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization

LOCAA: An Agentic System for Automated Lossy Compressor Tuning

Exploring the Genesis Platform Capabilities to Accelerate Scientific Discovery in OPAL

SemBridge: Compiling Consumer Observations into Cross-Stack Communication Plans

DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation

Real-Time dApps for AI-RAN: Measured Interface Requirements for Inline PHY and Slot-Level Control

TRANSIT: Transparent Scale-in for Multi-Node LLM Training

A Private IPFS Data Sanctuary for Verifiable Digital Collection Objects

Scalability Analysis of Distributed Kolmogorov-Arnold Network Training on High-Performance Computing Systems

Cross-chain Deals and Adversarial Commerce

Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training

A HIP-Compatible Accelerator Backend for Fourier-Bessel Particle-in-Cell Simulations on CPU/DCU Heterogeneous Clusters

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

FedMultimodal: A Benchmark For Multimodal Federated Learning

Quantifying the Availability of TV White Spaces for Cognitive Radio Operation in the UK

Kirin: Cloud-native WebAssembly Service Orchestration

Pushing CPU Speech Synthesis to the Wall: Extreme Inference Tuning under Serverless Architecture and Billing

Sharpedo: Dual-Mode Uncertified DAG-Based Consensus Protocol

Workload Schedulers -- Genesis, Algorithms and Differences

Accelerating Atom Simulations with Variable-Block Sparse Matrix Library

Ganga: a tool for computational-task management and easy access to Grid resources

A Survey of Blockchain Applications in Different Domains

WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs

Watt Counts: Energy-Aware Benchmark for Sustainable LLM Inference on Heterogeneous GPU Architectures

A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing

Towards Efficient HPC Systems for Agents: Challenges and Opportunities

When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions

Taming Speculative Search for Test-Time Scaling in LLM Serving

An In-Depth Analysis of the Slingshot Interconnect

LatencyLab: A DPDK-Based P4 Pipeline Latency Measurement Framework for FPGA SmartNICs

Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents

LLM Inference Serving: Survey of Recent Advances and Opportunities

Fleets Need a Context Plane: Rethinking Cooperative Perception for Autonomous Drones

Valori: A Deterministic Memory Substrate for AI Systems

FP64 Is All You Want, INT8 Is All You Need, FP4/6/8 Is All You Have

Comparison of Algebraic Block Multi-Coloring and Leiden Methods for Parallel Preconditioning in the ICCG Method