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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1,501 to 1,560 of 1,780

Werracle: Sub-Cent Intra-Block AI Reflex Oracles and Flash-Loan Circuit Breakers for EVM Smart Contracts
Volkan Dağlı, Zerrin Dağlı, Dağhan Dağlı
cs.CRcs.AIcs.DCarXiv:2609.30719v12026
LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention
Shang Yang, Junxian Guo, Haotian Tang +7
cs.CLcs.AIcs.DCarXiv:2502.14866v22025
FedYolo: Augmenting Federated Learning with Pretrained Transformers
Xuechen Zhang, Mingchen Li, Xiangyu Chang +4
cs.LGcs.DCarXiv:2307.04905v12023
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates
Lucas Cassano, Kun Yuan, Ali H. Sayed
cs.LGcs.DCstat.MLarXiv:1810.07792v52018
Attacking the DeFi Ecosystem with Flash Loans for Fun and Profit
Kaihua Qin, Liyi Zhou, Benjamin Livshits +1
cs.CRcs.DCarXiv:2003.03810v42020
Blockchain Consensus Algorithms: A Survey
Md Sadek Ferdous, Mohammad Jabed Morshed Chowdhury, Mohammad A. Hoque +1
cs.DCarXiv:2001.07091v22020
Bandwidth, Latency, and 400 Million Kilometers: The Case for Mars-Local Compute
Maleeha Masood, Indranil Gupta, Deepak Vasisht
cs.DCcs.NIarXiv:2609.31566v12026
A Concurrent Perspective on Smart Contracts
Ilya Sergey, Aquinas Hobor
cs.DCarXiv:1702.05511v12017
DPRQ: A Dynamic Programming-based Qubit Routing Algorithm for Collective Communication in Distributed Quantum Computing
Dhaval Vaidya, Ruozhou Yu
quant-phcs.DCarXiv:2609.04524v22026
MLI: An API for Distributed Machine Learning
Evan R. Sparks, Ameet Talwalkar, Virginia Smith +6
cs.LGcs.DCstat.MLarXiv:1310.5426v22013
MicroIntent: Intent-Based Placement Strategy for Microservice Application in the Compute Continuum Using LLMs
Koushikur Islam, Guilherme Da Cunha Rodrigues, Bahman Javadi +1
cs.DCarXiv:2609.07927v12026
Distributed Submodular Maximization
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar +1
cs.LGcs.AIcs.DCarXiv:1411.0541v22014
Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving
Hongjian Fan, Kevin Zhang, David Habinsky +1
cs.DCcs.LGarXiv:2609.10790v12026
GLASS: Architecture-Tuned, Composable, Device-Side Linear Algebra for Edge Robotics and Beyond
Brian Plancher
cs.ROcs.DCcs.MSarXiv:2609.28179v12026
From Token Interfaces to Token Semantics: A Formal Composition and Conformance Model for Implementation-Neutral Token Specifications
John deVadoss
cs.DCarXiv:2609.10547v12026
Audit-First Rollback Semantics for Safety-Critical Deployment Pipelines
Xue Qin, Simin Luan, Cong Yang +1
cs.SEcs.DCarXiv:2609.00406v12026
Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time
Jun Zhou, Nathan Elgar, Tawnee Benedetto +5
cs.DCcs.LGarXiv:2609.11946v12026
pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation
Brian Plancher
cs.DCcs.SEarXiv:2609.28862v12026
Diamond Agent: Agentic Control of Federated HPC Resources as a Service
Haotian Xie, Junlin Chen, Mingkai Zheng +9
cs.DCcs.AIarXiv:2609.06181v12026
DMTCP: Transparent Checkpointing for Cluster Computations and the Desktop
Jason Ansel, Kapil Arya, Gene Cooperman
cs.DCcs.OSarXiv:cs/0701037v32007
Towards Global Federated Genome-Wide Association Meta-Analysis Using GA4GH TES
Abhijit Chunduru, Matthew Joel, Zilinghan Li +1
cs.DCarXiv:2609.02227v12026
BlockMGARD: Accelerating Adaptive Scientific Data Reduction with Region-of-Interest Error Control on GPUs
Yanliang Li, Qian Gong, Qing Liu +5
cs.DCarXiv:2609.00205v12026
mzCache: On-Device LLM Memory Management under Multitasking
Hongseung Yu, Minsung Kim, Jongseok Park +1
cs.OScs.DCcs.LGarXiv:2609.01338v12026
Co-Skill: A Collaborative Communication Framework for Skill Evolution
Yilin Ma, Yangi Pan, Weihao Yang +4
cs.DCarXiv:2609.16008v12026
A Feature-Major Codebook for Memory-Efficient Sparse-Binary Self-Organizing Maps: Scaling a MEDLINE Atlas to 1.05 Million Neurons on a Single Consumer GPU
Andrew James Amos
cs.LGcs.DCarXiv:2608.24067v12026
Memory Profiling and Migration for Heterogeneous Memory Architectures
Marios Asiminakis, Polydoros Petrakis, Manolis Marazakis
cs.DCcs.PFarXiv:2609.10554v12026
Interactive Debugger for Performance Portable Python HPC Kernels
Ivan Grigorik, Gabriel Kosmacher, George Biros +1
cs.DCarXiv:2609.07912v12026
Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training
Zili Wang, Zhaopeng Qiu, Yuekai Zhang +2
cs.LGcs.DCarXiv:2609.07108v12026
A Three-Layer Caching Architecture for Low-Latency LLM Web Search on Commodity CPU Hardware
Ayushman Bhattacharya, Nihal Gazi
cs.DCcs.PFarXiv:2609.05463v12026
Bonded Recourse for Smart-Contract Settlement of Compensable Agent Side Effects
Laurent Bindschaedler, Quentin Botha, Christoph Siebenbrunner
cs.CRcs.DCcs.MAarXiv:2609.01939v12026
Performance Foundations of Parallel & Distributed Reasoning Language Models
Maciej Besta, Leonard Schmidt, Lara Nonino +7
cs.LGcs.AIcs.DCarXiv:2608.27046v12026
VPP: Virtual Pipeline Parallelism for Efficient Chunked Prefill in Long-Context LLM Inference
Yan Shi, Xiaochao Wang, Jingchun Gao +7
cs.DCarXiv:2608.26523v12026
Storage-Centric System Designs for Enabling Fast, Efficient, and Low-Cost Genomic and Metagenomic Analyses
Nika Mansouri Ghiasi
cs.ARcs.DCq-bio.GNarXiv:2608.31004v12026
Performance Evaluation of RED-ONION: A High-Speed Disk-to-Disk Transfer System
Keichi Takahashi, Hiroaki Kataoka, Takeo Hosomi +5
cs.DCcs.NIarXiv:2608.29053v12026
Distributed Training using an Intelligent Network
Nihar Shah, Ben Blier
cs.LGcs.DCcs.NIarXiv:2608.26453v12026
TreeWY: Speculative Verification for Gated DeltaNet Hybrids
Sneha Murthy Ghantasala
cs.AIcs.CLcs.DCarXiv:2608.20961v12026
A Spatially-Aware Publish-Subscribe Middleware for IoT Applications
Philipp Ungrund, Kurt Rothermel, Sukanya Bhowmik
cs.DCarXiv:2608.25728v12026
Slasher: Power Flexibility for Cloud Datacenters
Liuzixuan Lin, Fiodar Kazhamiaka, Alok Gautam Kumbhare +10
cs.DCcs.OSeess.SYarXiv:2608.26021v12026
Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels
Amir Taherin, Sana Taghipour Anvari, Charles Amante +9
cs.ARcs.AIcs.DCarXiv:2608.25053v12026
Mixed-Precision SEM-Based CFD Simulations on GPUs: A Taylor-Green Vortex case
Yanxiang Chen, Manuel Münsch, Roman Iakymchuk
cs.DCcs.SEarXiv:2608.24348v12026
Maia 200: A Software Defined Dataflow System for Large-scale AI Acceleration
Sherry Xu, Marco Heddes, Jackson Peng +14
cs.ARcs.AIcs.DCarXiv:2608.24664v12026
On Scaling Coordinate-Based Neuroevolution: The Quadtree Bottleneck in ES-HyperNEAT
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.DCcs.LGarXiv:2608.24480v12026
Intent Engine: Natural-Language Intent Translation for Intent-Driven Orchestration in the Compute Continuum
Koushikur Islam, Rodrigo N. Calheiros
cs.CLcs.DCarXiv:2608.20388v12026
TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving
Chenxu Niu
cs.ARcs.AIcs.DCarXiv:2608.18149v12026
Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning
Chun-Hua Lin, Samuel Yen-Chi Chen, Yu-Chao Hsu +7
cs.LGcs.AIcs.DCarXiv:2608.13914v12026
From LLM Inference to Agentic Workloads: Characterization and Implications for Serving Systems
Chaokun Chang, Yukun Zhou, Kaihua Fu +10
cs.OScs.AIcs.DCarXiv:2608.15127v12026
LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure
Jaehong Cho, Hyunmin Choi, Guseul Heo +1
cs.DCcs.AIarXiv:2602.23036v22026
Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
Liangqi Yuan, Wenzhi Fang, Shiqiang Wang +2
eess.SPcs.DCcs.LGarXiv:2605.08626v12026
SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
Talor Abramovich, Maor Ashkenazi, Izzy Putterman +5
cs.DCcs.AIarXiv:2604.09557v22026
Reference Architecture of a Quantum-Centric Supercomputer
Seetharami Seelam, Jerry M. Chow, Antonio Córcoles +10
cs.ETcs.ARcs.DCarXiv:2603.10970v22026
Autellix: An Efficient Serving Engine for LLM Agents as General Programs
Michael Luo, Xiaoxiang Shi, Colin Cai +8
cs.LGcs.AIcs.DCarXiv:2502.13965v12025
Where Do the Joules Go? Diagnosing Inference Energy Consumption
Jae-Won Chung, Ruofan Wu, Jeff J. Ma +1
cs.LGcs.DCarXiv:2601.22076v22026
UFO3: Weaving the Digital Agent Galaxy
Chaoyun Zhang, Liqun Li, He Huang +8
cs.DCcs.MAarXiv:2511.11332v22025
Characterization of Large Language Model Development in the Datacenter
Qinghao Hu, Zhisheng Ye, Zerui Wang +9
cs.DCcs.LGarXiv:2403.07648v22024
KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider
Jiahao Wang, Jinbo Han, Xingda Wei +6
cs.DCcs.AIarXiv:2506.02634v52025
Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads
Cunchen Hu, Heyang Huang, Liangliang Xu +9
cs.DCarXiv:2401.11181v12024
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Ruoyu Qin, Zheming Li, Weiran He +4
cs.DCcs.AIcs.ARarXiv:2407.00079v42024
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri +2
cs.AIcs.ARcs.DCarXiv:2408.00741v12024
Summaries:한국어
A Survey of Resource-efficient LLM and Multimodal Foundation Models
Mengwei Xu, Wangsong Yin, Dongqi Cai +15
cs.LGcs.AIcs.DCarXiv:2401.08092v22024
InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management
Wonbeom Lee, Jungi Lee, Junghwan Seo +1
cs.LGcs.DCarXiv:2406.19707v12024

Distributed and Cluster Computing

Werracle: Sub-Cent Intra-Block AI Reflex Oracles and Flash-Loan Circuit Breakers for EVM Smart Contracts

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

FedYolo: Augmenting Federated Learning with Pretrained Transformers

Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates

Attacking the DeFi Ecosystem with Flash Loans for Fun and Profit

Blockchain Consensus Algorithms: A Survey

Bandwidth, Latency, and 400 Million Kilometers: The Case for Mars-Local Compute

A Concurrent Perspective on Smart Contracts

DPRQ: A Dynamic Programming-based Qubit Routing Algorithm for Collective Communication in Distributed Quantum Computing

MLI: An API for Distributed Machine Learning

MicroIntent: Intent-Based Placement Strategy for Microservice Application in the Compute Continuum Using LLMs

Distributed Submodular Maximization

Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving

GLASS: Architecture-Tuned, Composable, Device-Side Linear Algebra for Edge Robotics and Beyond

From Token Interfaces to Token Semantics: A Formal Composition and Conformance Model for Implementation-Neutral Token Specifications

Audit-First Rollback Semantics for Safety-Critical Deployment Pipelines

Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Diamond Agent: Agentic Control of Federated HPC Resources as a Service

DMTCP: Transparent Checkpointing for Cluster Computations and the Desktop

Towards Global Federated Genome-Wide Association Meta-Analysis Using GA4GH TES

BlockMGARD: Accelerating Adaptive Scientific Data Reduction with Region-of-Interest Error Control on GPUs

mzCache: On-Device LLM Memory Management under Multitasking

Co-Skill: A Collaborative Communication Framework for Skill Evolution

A Feature-Major Codebook for Memory-Efficient Sparse-Binary Self-Organizing Maps: Scaling a MEDLINE Atlas to 1.05 Million Neurons on a Single Consumer GPU

Memory Profiling and Migration for Heterogeneous Memory Architectures

Interactive Debugger for Performance Portable Python HPC Kernels

Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training

A Three-Layer Caching Architecture for Low-Latency LLM Web Search on Commodity CPU Hardware

Bonded Recourse for Smart-Contract Settlement of Compensable Agent Side Effects

Performance Foundations of Parallel & Distributed Reasoning Language Models

VPP: Virtual Pipeline Parallelism for Efficient Chunked Prefill in Long-Context LLM Inference

Storage-Centric System Designs for Enabling Fast, Efficient, and Low-Cost Genomic and Metagenomic Analyses

Performance Evaluation of RED-ONION: A High-Speed Disk-to-Disk Transfer System

Distributed Training using an Intelligent Network

TreeWY: Speculative Verification for Gated DeltaNet Hybrids

A Spatially-Aware Publish-Subscribe Middleware for IoT Applications

Slasher: Power Flexibility for Cloud Datacenters

Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels

Mixed-Precision SEM-Based CFD Simulations on GPUs: A Taylor-Green Vortex case

Maia 200: A Software Defined Dataflow System for Large-scale AI Acceleration

On Scaling Coordinate-Based Neuroevolution: The Quadtree Bottleneck in ES-HyperNEAT

Intent Engine: Natural-Language Intent Translation for Intent-Driven Orchestration in the Compute Continuum

TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving

Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning

From LLM Inference to Agentic Workloads: Characterization and Implications for Serving Systems

LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure

Large Language Models over Networks: Collaborative Intelligence under Resource Constraints

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding

Reference Architecture of a Quantum-Centric Supercomputer

Autellix: An Efficient Serving Engine for LLM Agents as General Programs

Where Do the Joules Go? Diagnosing Inference Energy Consumption

UFO3: Weaving the Digital Agent Galaxy

Characterization of Large Language Model Development in the Datacenter

KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider

Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency

A Survey of Resource-efficient LLM and Multimodal Foundation Models

InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management