Distributed and Cluster Computing

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301 to 360 of 1,072

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration
Haoxiang Luo, Yinqiu Liu, Ruichen Zhang +7
cs.NIcs.DCarXiv:2507.00672v12025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara +5
cs.LGcs.AIcs.CRarXiv:2505.04873v12025
AI Flow: Perspectives, Scenarios, and Approaches
Hongjun An, Wenhan Hu, Sida Huang +11
cs.AIcs.CLcs.CVarXiv:2506.12479v32025
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu
cs.LGcs.AIcs.CRarXiv:2211.07893v22022
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
Dipankar Das, Sasikanth Avancha, Dheevatsa Mudigere +5
cs.DCcs.LGarXiv:1602.06709v12016
A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
Bing Lin, Fangning Zhu, Jianshan Zhang +4
cs.DCarXiv:1901.07216v22019
Deep Learning on FPGAs: Past, Present, and Future
Griffin Lacey, Graham W. Taylor, Shawki Areibi
cs.DCcs.LGstat.MLarXiv:1602.04283v12016
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang +4
cs.LGcs.AIcs.DCarXiv:2312.15234v22023
RT-HiSS: Ray Tracing Accelerated High Dimensional Vector Similarity Searches
Revanth Reddy Munugala, Michael Gowanlock
cs.DCcs.DBarXiv:2609.01975v12026
LongCat-Flash Technical Report
Meituan LongCat Team, Bayan, Bei Li +179
cs.CLcs.AIcs.DCarXiv:2509.01322v22025
Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
Ziye Jia, Can Cui, Chao Dong +4
cs.DCcs.ITeess.SParXiv:2506.01972v12025
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
LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
Bingyang Wu, Shengyu Liu, Yinmin Zhong +3
cs.DCcs.LGarXiv:2404.09526v22024
Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat +1
cs.DCmath.OCarXiv:1303.2837v12013
MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents
Hei Ting, Chan, Chenwei Wu +5
cs.LGcs.DCcs.MAarXiv:2608.29528v12026
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors
Xin Liang, Kai Zhao, Sheng Di +9
cs.DCarXiv:2111.02925v22021
MNN: A Universal and Efficient Inference Engine
Xiaotang Jiang, Huan Wang, Yiliu Chen +9
cs.CVcs.DCcs.LGarXiv:2002.12418v12020
Automatic Optimization for MapReduce Programs
Eaman Jahani, Michael J. Cafarella, Christopher Ré
cs.DBcs.DCarXiv:1104.3217v12011
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
Anjiang Wei, Tianran Sun, Yogesh Seenichamy +5
cs.DCcs.AIcs.CLarXiv:2509.07506v22025
BlendCAC: A BLockchain-ENabled Decentralized Capability-based Access Control for IoTs
Ronghua Xu, Yu Chen, Erik Blasch +1
cs.NIcs.CRcs.DCarXiv:1804.09267v12018
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri +5
cs.DCcs.AIarXiv:2501.02600v12025
Load Balancing for MapReduce-based Entity Resolution
Lars Kolb, Andreas Thor, Erhard Rahm
cs.DCarXiv:1108.1631v12011
B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
Yilin Guan, Shuqing Luo, Pingzhi Li +2
math.OCcs.DCarXiv:2608.28988v12026
Blink: Fast and Generic Collectives for Distributed ML
Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee +3
cs.DCcs.LGarXiv:1910.04940v12019
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows
Zaifeng Pan, Ajjkumar Patel, Zhengding Hu +6
cs.DCcs.MAarXiv:2507.07400v12025
RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes
Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap +2
cs.DCcs.DBcs.DSarXiv:1909.13670v42019
An Exponential Separation Between Randomized and Deterministic Complexity in the LOCAL Model
Yi-Jun Chang, Tsvi Kopelowitz, Seth Pettie
cs.CCcs.DCcs.DSarXiv:1602.08166v22016
DILAND: An Algorithm for Distributed Sensor Localization with Noisy Distance Measurements
Usman A. Khan, Soummya Kar, Jose M. F. Moura
cs.DCcs.ITarXiv:0910.2743v12009
A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
Lucas Rey, Ana M. Bernardos, Andrzej D. Dobrzycki +4
cs.DCcs.AIcs.CVarXiv:2502.15737v12025
AInfer-PD: Communication-Safe In-Place Prefill-Decode Multiplexing for Distributed MoE Rollouts
Guowei Wang, Chaokun Yang, Zhenxuan Pan +5
cs.DCarXiv:2609.00993v12026
Serving deep learning models in a serverless platform
Vatche Ishakian, Vinod Muthusamy, Aleksander Slominski
cs.DCarXiv:1710.08460v22017
Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi, Xiuxian Li, Lihua Xie +1
math.OCcs.DCcs.LGarXiv:1903.04277v22019
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasia Koloskova, Nicolas Loizou, Sadra Boreiri +2
cs.LGcs.DCmath.OCarXiv:2003.10422v32020
Federated Learning of a Mixture of Global and Local Models
Filip Hanzely, Peter Richtárik
cs.LGcs.DCmath.OCarXiv:2002.05516v32020
PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System
Yintao He, Haiyu Mao, Christina Giannoula +6
cs.ARcs.AIcs.DCarXiv:2502.15470v22025
A Smallest-Need-First Job Scheduling Framework with Adaptive Optimization of Idle Node Counts for Energy-Efficient HPC Systems
Reza Pulungan, Raka Satya Prasasta, Santana Yuda Pradata +3
cs.DCarXiv:2608.29656v12026
Speeding Up Distributed Machine Learning Using Codes
Kangwook Lee, Maximilian Lam, Ramtin Pedarsani +2
cs.DCcs.ITcs.LGarXiv:1512.02673v32015
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
AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds
Yinfang Chen, Manish Shetty, Gagan Somashekar +6
cs.AIcs.DCcs.MAarXiv:2501.06706v12025
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar, Junyao Guo, Jiayi Liu +3
cs.LGcs.DCstat.MLarXiv:1911.00623v22019
Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts
Shulai Zhang, Ningxin Zheng, Haibin Lin +9
cs.DCcs.AIcs.LGarXiv:2502.19811v32025
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
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
Saurabh Jha, Rohan Arora, Yuji Watanabe +40
cs.AIcs.DCcs.MAarXiv:2502.05352v12025
ServerlessLLM: Low-Latency Serverless Inference for Large Language Models
Yao Fu, Leyang Xue, Yeqi Huang +4
cs.LGcs.DCarXiv:2401.14351v22024
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks
Charith Mendis, Alex Renda, Saman Amarasinghe +1
cs.DCcs.LGstat.MLarXiv:1808.07412v22018
Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant
Qing Yang, Hao Wang, Taotao Wang +3
eess.SYcs.CRcs.DCarXiv:2105.00174v22021
Computing Resource Allocation in Three-Tier IoT Fog Networks: a Joint Optimization Approach Combining Stackelberg Game and Matching
Huaqing Zhang, Yong Xiao, Shengrong Bu +3
cs.GTcs.DCarXiv:1701.03922v12017
Parallel Algorithms for Geometric Graph Problems
Alexandr Andoni, Aleksandar Nikolov, Krzysztof Onak +1
cs.DScs.DCarXiv:1401.0042v22013
Scaling Nakamoto Consensus to Thousands of Transactions per Second
Chenxing Li, Peilun Li, Dong Zhou +3
cs.DCarXiv:1805.03870v42018
Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer
Marcelo Ponce, Ramses van Zon, Scott Northrup +14
cs.DCarXiv:1907.13600v12019
Autellix: An Efficient Serving Engine for LLM Agents as General Programs
Michael Luo, Xiaoxiang Shi, Colin Cai +8
cs.LGcs.AIcs.DCarXiv:2502.13965v12025
Faster Convergence of Multidimensional Approximate Agreement via Smallest Enclosing Balls
Darya Melnyk
cs.DCarXiv:2609.01490v12026
Demystifying NCCL: An In-depth Analysis of GPU Communication Protocols and Algorithms
Zhiyi Hu, Siyuan Shen, Tommaso Bonato +6
cs.DCarXiv:2507.04786v32025
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
Xiaoya Li, Albert Wang, Guoyin Wang +2
cs.AIcs.DCcs.LGarXiv:2507.14111v122025
Comparison of Algebraic Block Multi-Coloring and Leiden Methods for Parallel Preconditioning in the ICCG Method
Tomohiro Suzuki
cs.DCmath.NAarXiv:2609.00561v12026
A Survey of Distributed Data Aggregation Algorithms
Paulo Jesus, Carlos Baquero, Paulo Sérgio Almeida
cs.DCcs.DScs.IRarXiv:1110.0725v12011
GSPMD: General and Scalable Parallelization for ML Computation Graphs
Yuanzhong Xu, HyoukJoong Lee, Dehao Chen +13
cs.DCcs.LGarXiv:2105.04663v22021
Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure
Ingo Müller, Renato Marroquín, Gustavo Alonso
cs.DBcs.DCarXiv:1912.00937v12019
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra, Rayana Jaafar, George J. Pappas +1
cs.LGcs.DCeess.SYarXiv:2102.07053v22021
Prediction-Robust Service Deployment with Capacity-Aware Edge Admission
Hailiang Zhao, Ziqi Wang, Yifei Zhang +4
cs.DCarXiv:2609.00877v12026

Distributed and Cluster Computing

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Federated Learning for Cyber Physical Systems: A Comprehensive Survey

AI Flow: Perspectives, Scenarios, and Approaches

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

Distributed Deep Learning Using Synchronous Stochastic Gradient Descent

A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing

Deep Learning on FPGAs: Past, Present, and Future

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

RT-HiSS: Ray Tracing Accelerated High Dimensional Vector Similarity Searches

LongCat-Flash Technical Report

Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs

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

LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism

Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers

MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors

MNN: A Universal and Efficient Inference Engine

Automatic Optimization for MapReduce Programs

Astra: A Multi-Agent System for GPU Kernel Performance Optimization

BlendCAC: A BLockchain-ENabled Decentralized Capability-based Access Control for IoTs

TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms

Load Balancing for MapReduce-based Entity Resolution

B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints

Blink: Fast and Generic Collectives for Distributed ML

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows

RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes

An Exponential Separation Between Randomized and Deterministic Complexity in the LOCAL Model

DILAND: An Algorithm for Distributed Sensor Localization with Noisy Distance Measurements

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications

AInfer-PD: Communication-Safe In-Place Prefill-Decode Multiplexing for Distributed MoE Rollouts

Serving deep learning models in a serverless platform

Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints

A Unified Theory of Decentralized SGD with Changing Topology and Local Updates

Federated Learning of a Mixture of Global and Local Models

PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System

A Smallest-Need-First Job Scheduling Framework with Adaptive Optimization of Idle Node Counts for Energy-Efficient HPC Systems

Speeding Up Distributed Machine Learning Using Codes

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency

AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds

On-Device Machine Learning: An Algorithms and Learning Theory Perspective

Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts

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

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks

ServerlessLLM: Low-Latency Serverless Inference for Large Language Models

Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks

Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant

Computing Resource Allocation in Three-Tier IoT Fog Networks: a Joint Optimization Approach Combining Stackelberg Game and Matching

Parallel Algorithms for Geometric Graph Problems

Scaling Nakamoto Consensus to Thousands of Transactions per Second

Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer

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

Faster Convergence of Multidimensional Approximate Agreement via Smallest Enclosing Balls

Demystifying NCCL: An In-depth Analysis of GPU Communication Protocols and Algorithms

CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

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

A Survey of Distributed Data Aggregation Algorithms

GSPMD: General and Scalable Parallelization for ML Computation Graphs

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

Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

Prediction-Robust Service Deployment with Capacity-Aware Edge Admission