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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1,021 to 1,071 of 1,071

Ray: A Distributed Framework for Emerging AI Applications
Philipp Moritz, Robert Nishihara, Stephanie Wang +8
cs.DCcs.AIcs.LGarXiv:1712.05889v22017
Large-Scale Evolution of Image Classifiers
Esteban Real, Sherry Moore, Andrew Selle +5
cs.NEcs.AIcs.CVarXiv:1703.01041v22017
MLlib: Machine Learning in Apache Spark
Xiangrui Meng, Joseph Bradley, Burak Yavuz +13
cs.LGcs.DCcs.MSarXiv:1505.06807v12015
Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
Rajkumar Buyya, Chee Shin Yeo, Srikumar Venugopal
cs.DCarXiv:0808.3558v12008
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase +1
cs.LGcs.DCstat.MLarXiv:1910.02054v32019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou, Xu Chen, En Li +3
cs.DCcs.AIcs.NIarXiv:1905.10083v12019
Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger
Duncan A. Brown, Karan Vahi, Michela Taufer +2
cs.DCastro-ph.IMgr-qcarXiv:2010.07244v22020
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen, Mu Li, Yutian Li +7
cs.DCcs.LGcs.MSarXiv:1512.01274v12015
MediaPipe: A Framework for Building Perception Pipelines
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash +11
cs.DCarXiv:1906.08172v12019
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems
Vasimuddin Md, Sanchit Misra, Heng Li +1
cs.DCcs.CEcs.PFarXiv:1907.12931v12019
A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency
Ravi Satya Durga Prasad Yenugula
cs.DCcs.AIcs.CLarXiv:2608.15975v12026
Efficient Block-Layer Parallel Inference for Vision-Language-Action on Hybrid Architectures
Haibo HU, Lianming Huang, Qiao Li +2
cs.DCcs.AIarXiv:2608.14586v12026
Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon
Víctor Gallego
cs.LGcs.AIcs.DCarXiv:2605.09708v22026
Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
Liangqi Yuan, Wenzhi Fang, Shiqiang Wang +2
eess.SPcs.DCcs.LGarXiv:2605.08626v12026
S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination
Sajjad Khan
cs.LGcs.AIcs.DCarXiv:2605.17076v22026
Adaptive Heterogeneous Compression for Resource-Efficient Federated Knowledge Distillation
Chenwang Liu, Yijun Liu, Chang Liu +2
cs.DCcs.LGarXiv:2608.15660v12026
PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
Liangqi Yuan, Wenzhi Fang, Shiqiang Wang +1
cs.LGcs.CLcs.DCarXiv:2605.08646v12026
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi, Ashish Agarwal, Paul Barham +37
cs.DCcs.LGarXiv:1603.04467v22016
Towards Federated Learning at Scale: System Design
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp +11
cs.LGcs.DCstat.MLarXiv:1902.01046v22019
Cloud Computing and Grid Computing 360-Degree Compared
Ian Foster, Yong Zhao, Ioan Raicu +1
cs.DCarXiv:0901.0131v12008
Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang +1
cs.NEcs.AIcs.CVarXiv:1802.01548v72018
rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment
Lars Simon Zehnder
cs.LGcs.DCcs.PFarXiv:2608.17641v22026
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal, Piotr Dollár, Ross Girshick +6
cs.CVcs.DCcs.LGarXiv:1706.02677v22017
Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets
Tate Berenbaum, Muthaiah Venkatachalam
cs.DCcs.AIcs.SEarXiv:2608.19147v12026
Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains
Elli Androulaki, Artem Barger, Vita Bortnikov +18
cs.DCcs.CRarXiv:1801.10228v22018
TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving
Chenxu Niu
cs.ARcs.AIcs.DCarXiv:2608.18149v12026
Federated Learning: Challenges, Methods, and Future Directions
Tian Li, Anit Kumar Sahu, Ameet Talwalkar +1
cs.LGcs.DCstat.MLarXiv:1908.07873v12019
Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions
Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic +1
cs.DCarXiv:1207.0203v12012
Communication Reduction via Semantic-Based Encoding in DMPC Using LSTMs
Torben Schiz, Pedro H. J. Nardelli, Henrik Ebel
eess.SYcs.DCcs.LGarXiv:2608.17592v12026
TensorFlow: A system for large-scale machine learning
Martín Abadi, Paul Barham, Jianmin Chen +19
cs.DCcs.AIarXiv:1605.08695v22016
Beyond Binary Priorities: Multi-Tier SLA Scheduling for Large Language Model Serving
Anders Vestrum, Arya Raeesi, Hanna Roed
cs.ARcs.DCcs.LGarXiv:2608.16336v12026
The Price of Anarchy in Disaggregated Inference
Athos Georgiou
cs.ARcs.AIcs.DCarXiv:2606.17081v12026
Belayer: Efficient Fault Tolerance for LLM Agentic RL Training
Jiecheng Zhou, Qinghao Hu, Peng Sun +2
cs.DCcs.LGarXiv:2608.14635v22026
Evaluating Agentic Code Repair Capabilities in Distributed Systems
Yibo Yan, Huijuan Wang, Junzhou He +4
cs.SEcs.AIcs.DCarXiv:2608.14863v12026
PAS-QFL: Personalized Ansatz Selection for Quantum Federated Learning under Client Data Heterogeneity
Jindi Wu, Qun Li
quant-phcs.AIcs.DCarXiv:2608.14995v12026
When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation
Wenhao Yuan, Chenchen Lin, Wenhao Hu +4
cs.DCcs.AIcs.LGarXiv:2608.15639v12026
DeltaLog: Deferred Materialization of Recurrent States for Linear Attention Decoding
Junqing Lin, Jingwei Sun, Guangzhong Sun
cs.DCcs.LGarXiv:2608.15533v12026
FloodReasonBench: Benchmarking VLM Reasoning Segmentation for Embodied Flood Response at the Edge
Rajat Bhattacharjya, Yoomee Jung, Minwoo Kim +4
cs.DCcs.AIcs.CVarXiv:2608.15410v12026
Agent-Native Telemetry: Verifiable State-Delta Evidence for Autonomous Operations
Jun He, Deying Yu
cs.DCcs.AIarXiv:2608.16178v12026
FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution
Shuo Yang, Xiaoze Fan, Melissa Pan +8
cs.DCarXiv:2608.16157v12026
KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving
Zedong Liu, Xinyang Ma, Dejun Luo +9
cs.DCcs.AIcs.NIarXiv:2605.13734v12026
MELD: A Protocol for Merging Knowledge Across Distributed Agentic Memories
Lauri Lovén, Jaakko Sauvola, Jukka Riekki +1
cs.DCcs.AIcs.MAarXiv:2608.16357v12026
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
LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation
Yukang Chen, Luozhou Wang, Wei Huang +13
cs.CVcs.DCarXiv:2605.18739v22026
GORGO: Online Tuning for Cross-Region Network-Aware LLM Serving
Alessio Ricci Toniolo, Rome Thorstenson, Abinaya Dinesh
cs.NIcs.DCarXiv:2602.11688v32026
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
Jian Hu, Huiying Li, Hao Zhang +8
cs.LGcs.CLcs.DCarXiv:2607.21653v12026
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models
Haoran Sun, Wentao Zhang, Junyang Hua +18
cs.DCcs.AIcs.SEarXiv:2607.16074v12026
Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training
Hanfeng Lu, Tianyu Feng, Suyi Li +8
cs.LGcs.DCarXiv:2608.14498v12026
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
OasisKV: Scaling In-Decode KV Cache Beyond HBM with Lookahead Sparse Prefetching
Can Xiao, Sukmin Cho, Junbong We +7
cs.DCarXiv:2608.08097v12026
ELDR: Expert-Locality-Aware Decode Routing for PD-Disaggregated MoE Serving
Sangjin Choi, Sukmin Cho, Yifan Xiong +3
cs.DCarXiv:2607.00466v22026

Distributed and Cluster Computing

Ray: A Distributed Framework for Emerging AI Applications

Large-Scale Evolution of Image Classifiers

MLlib: Machine Learning in Apache Spark

Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing

Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

MediaPipe: A Framework for Building Perception Pipelines

Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems

A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency

Efficient Block-Layer Parallel Inference for Vision-Language-Action on Hybrid Architectures

Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon

Large Language Models over Networks: Collaborative Intelligence under Resource Constraints

S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination

Adaptive Heterogeneous Compression for Resource-Efficient Federated Knowledge Distillation

PAAC: Privacy-Aware Agentic Device-Cloud Collaboration

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Towards Federated Learning at Scale: System Design

Cloud Computing and Grid Computing 360-Degree Compared

Regularized Evolution for Image Classifier Architecture Search

rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets

Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains

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

Federated Learning: Challenges, Methods, and Future Directions

Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions

Communication Reduction via Semantic-Based Encoding in DMPC Using LSTMs

TensorFlow: A system for large-scale machine learning

Beyond Binary Priorities: Multi-Tier SLA Scheduling for Large Language Model Serving

The Price of Anarchy in Disaggregated Inference

Belayer: Efficient Fault Tolerance for LLM Agentic RL Training

Evaluating Agentic Code Repair Capabilities in Distributed Systems

PAS-QFL: Personalized Ansatz Selection for Quantum Federated Learning under Client Data Heterogeneity

When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation

DeltaLog: Deferred Materialization of Recurrent States for Linear Attention Decoding

FloodReasonBench: Benchmarking VLM Reasoning Segmentation for Embodied Flood Response at the Edge

Agent-Native Telemetry: Verifiable State-Delta Evidence for Autonomous Operations

FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution

KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving

MELD: A Protocol for Merging Knowledge Across Distributed Agentic Memories

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

LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation

GORGO: Online Tuning for Cross-Region Network-Aware LLM Serving

Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models

Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training

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

OasisKV: Scaling In-Decode KV Cache Beyond HBM with Lookahead Sparse Prefetching

ELDR: Expert-Locality-Aware Decode Routing for PD-Disaggregated MoE Serving