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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481 to 540 of 1,072

Sparse Distributed Learning Based on Diffusion Adaptation
Paolo Di Lorenzo, Ali H. Sayed
cs.LGcs.DCarXiv:1206.3099v22012
Summaries:한국어
Distributed Verification and Hardness of Distributed Approximation
Atish Das Sarma, Stephan Holzer, Liah Kor +5
cs.DCcs.DSarXiv:1011.3049v32010
A Survey on Network Codes for Distributed Storage
Alexandros G. Dimakis, Kannan Ramchandran, Yunnan Wu +1
cs.ITcs.DCcs.NIarXiv:1004.4438v12010
Gossip Algorithms for Distributed Signal Processing
Alexandros G. Dimakis, Soummya Kar, Jose M. F. Moura +2
cs.DCcs.ITcs.NIarXiv:1003.5309v12010
Research Challenges for Enterprise Cloud Computing
Ali Khajeh-Hosseini, Ian Sommerville, Ilango Sriram
cs.DCcs.CYarXiv:1001.3257v12010
FedGH: Heterogeneous Federated Learning with Generalized Global Header
Liping Yi, Gang Wang, Xiaoguang Liu +2
cs.LGcs.DCarXiv:2303.13137v22023
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
Zihao Ye, Lequn Chen, Ruihang Lai +8
cs.DCcs.AIcs.LGarXiv:2501.01005v22025
Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey
Nguyen Cong Luong, Ping Wang, Dusit Niyato +2
cs.GTcs.DCcs.NIarXiv:1701.01963v12017
DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments
Reza Farahani, Zoha Azimi Ourimi, Mario Colosi +3
cs.DCarXiv:2609.00442v12026
Client-side transparent caching for remote ROOT data analysis
Dmytro Kovalskyi, Jan Eysermans, Mariarosaria D'Alfonso +1
cs.DChep-exarXiv:2609.00400v12026
TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
Weiyang Wang, Moein Khazraee, Zhizhen Zhong +5
cs.NIcs.DCarXiv:2202.00433v32022
Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices
Jiaxiang Geng, Xianhao Chen, Bing Luo
cs.DCarXiv:2609.01457v12026
Dependable Structural Helath Monitoring Using Wireless Sensor Networks
Md Zakirul Alam Bhuiyan, G. Wang, J. Wu +1
cs.DCeess.SYarXiv:1509.06065v12015
'Zhores' -- Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology
Igor Zacharov, Rinat Arslanov, Maxim Gunin +6
cs.DCarXiv:1902.07490v12019
Migrating to Cloud-Native Architectures Using Microservices: An Experience Report
Armin Balalaie, Abbas Heydarnoori, Pooyan Jamshidi
cs.SEcs.DCarXiv:1507.08217v12015
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching
Zaoxing Liu, Zhihao Bai, Zhenming Liu +5
cs.DCcs.NIarXiv:1901.08200v22019
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
Ziyao Wang, Zheyu Shen, Yexiao He +4
cs.LGcs.DCarXiv:2409.05976v12024
The Anatomy of Big Data Computing
Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal +2
cs.DCarXiv:1509.01331v12015
MLI: An API for Distributed Machine Learning
Evan R. Sparks, Ameet Talwalkar, Virginia Smith +6
cs.LGcs.DCstat.MLarXiv:1310.5426v22013
MakoXC: Rearchitecting DFT Exchange-Correlation with Matrix-Aligned and Knowledge-Organized Sparsity
Haozhi Han, Fusong Ju, Jing Bai +8
cs.DCphysics.chem-pharXiv:2609.01025v22026
CREDIT: Cost-guided Reduction-reuse with Efficient DSMEM Inter-CTA Tiling
Zhengxiong Li, Tsung-Wei Huang, Umit Ogras
cs.DCarXiv:2609.01864v12026
Robust Analog Function Computation via Wireless Multiple-Access Channels
Mario Goldenbaum, Sławomir Stańczak
cs.ITcs.DCcs.MAarXiv:1210.2967v12012
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
Jie You, Jae-Won Chung, Mosharaf Chowdhury
cs.LGcs.AIcs.DCarXiv:2208.06102v22022
Bonded Recourse for Smart-Contract Settlement of Compensable Agent Side Effects
Laurent Bindschaedler, Quentin Botha, Christoph Siebenbrunner
cs.CRcs.DCcs.MAarXiv:2609.01939v12026
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma, Fu-Ming Guo, Wei Niu +5
cs.LGcs.CVcs.DCarXiv:1909.05073v42019
GRADSOLVE: fast exact gradients for ODE ensembles on GPUs
Alessio Spurio Mancini
cs.MScs.DCcs.LGarXiv:2609.02876v12026
S2RDF: RDF Querying with SPARQL on Spark
Alexander Schätzle, Martin Przyjaciel-Zablocki, Simon Skilevic +1
cs.DBcs.DCarXiv:1512.07021v32015
Breaking Cycles for Scalable Fair Ordering in Blockchain Systems
Jinchun He, Wangjie Qiu, Yizhong Liu +2
cs.DCarXiv:2609.00837v12026
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
Ji Wang, Jianguo Zhang, Weidong Bao +3
cs.LGcs.AIcs.DCarXiv:1809.03428v32018
Rucio - Scientific data management
Martin Barisits, Thomas Beermann, Frank Berghaus +27
cs.DCarXiv:1902.09857v22019
Towards Global Federated Genome-Wide Association Meta-Analysis Using GA4GH TES
Abhijit Chunduru, Matthew Joel, Zilinghan Li +1
cs.DCarXiv:2609.02227v12026
Federated Learning with Bayesian Differential Privacy
Aleksei Triastcyn, Boi Faltings
cs.LGcs.CRcs.DCarXiv:1911.10071v12019
Distributed Submodular Maximization
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar +1
cs.LGcs.AIcs.DCarXiv:1411.0541v22014
Blockchain for Decentralization of Internet: Prospects, Trends, and Challenges
Javad Zarrin, Phang Hao Wen, Lakshmi Babu Saheer +1
cs.NIcs.DCcs.ETarXiv:2011.01096v12020
Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere
Robert L Grossman, Yunhong Gu
cs.DCarXiv:0808.3019v12008
Parallel Heuristics for Scalable Community Detection
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
cs.SIcs.DCphysics.soc-pharXiv:1410.1237v22014
XFT: Practical Fault Tolerance Beyond Crashes
Shengyun Liu, Paolo Viotti, Christian Cachin +2
cs.DCarXiv:1502.05831v32015
Probabilistically Bounded Staleness for Practical Partial Quorums
Peter Bailis, Shivaram Venkataraman, Michael J. Franklin +2
cs.DBcs.DCarXiv:1204.6082v12012
qHiPSTER: The Quantum High Performance Software Testing Environment
Mikhail Smelyanskiy, Nicolas P. D. Sawaya, Alán Aspuru-Guzik
quant-phcs.DCarXiv:1601.07195v22016
MeanField Surrogate Modeling for Scalable Runtime Scheduling of Concurrent Heterogeneous AI Inference on Shared GPUs
Youssef Ennouri, Soonhoi Ha
cs.DCcs.AIarXiv:2609.02109v12026
The Serverless Computing Survey: A Technical Primer for Design Architecture
Zijun Li, Linsong Guo, Jiagan Cheng +3
cs.DCarXiv:2112.12921v22021
CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning
Chao Feng, Burkhard Stiller
cs.LGcs.DCarXiv:2609.02450v12026
A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing
Minxian Xu, Wenhong Tian, Rajkumar Buyya
cs.DCarXiv:1607.06269v32016
BAFFLE : Blockchain Based Aggregator Free Federated Learning
Paritosh Ramanan, Kiyoshi Nakayama
cs.LGcs.CRcs.DCarXiv:1909.07452v32019
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference
Udit Gupta, Samuel Hsia, Vikram Saraph +6
cs.DCarXiv:2001.02772v12020
Ternary Compression for Communication-Efficient Federated Learning
Jinjin Xu, Wenli Du, Ran Cheng +2
cs.LGcs.DCstat.MLarXiv:2003.03564v22020
A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment
Mayanka Katyal, Atul Mishra
cs.DCarXiv:1403.6918v12014
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
Qinghao Hu, Peng Sun, Shengen Yan +2
cs.DCcs.LGarXiv:2109.01313v22021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang +50
cs.DCcs.AIcs.LGarXiv:2104.05158v72021
NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver
Paul Fischer, Stefan Kerkemeier, Misun Min +8
cs.PFcs.DCarXiv:2104.05829v12021
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks
Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao +1
cs.LGcs.DCarXiv:2009.02186v12020
Federated Accelerated Stochastic Gradient Descent
Honglin Yuan, Tengyu Ma
cs.LGcs.DCmath.OCarXiv:2006.08950v42020
Repair Optimal Erasure Codes through Hadamard Designs
Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Viveck R. Cadambe
cs.ITcs.DCcs.NIarXiv:1106.1634v12011
Federated Learning on the American Science Cloud using APPFL
Zilinghan Li, Abhijit Chunduru, Harinarayan Krishnan +4
cs.DCarXiv:2609.02238v12026
Efficient Optimal Algorithm of Task Scheduling in Cloud Computing Environment
Dr. Amit Agarwal, Saloni Jain
cs.DCarXiv:1404.2076v12014
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Filip Hanzely, Slavomír Hanzely, Samuel Horváth +1
cs.LGcs.DCmath.OCarXiv:2010.02372v12020
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Ying Sheng, Shiyi Cao, Dacheng Li +9
cs.LGcs.AIcs.DCarXiv:2311.03285v32023
Carbon Explorer: A Holistic Approach for Designing Carbon Aware Datacenters
Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka +5
cs.DCeess.SYarXiv:2201.10036v32022
QArray+: A physics-informed GPU-accelerated simulator for quantum dot arrays
Pranav Vaidhyanathan, Barnaby van Straaten, Alice Petrillo +6
cond-mat.mes-hallcs.DCquant-pharXiv:2609.02736v12026
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services
Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
cs.DCcs.LGarXiv:1902.01000v12019

Distributed and Cluster Computing

Sparse Distributed Learning Based on Diffusion Adaptation

Distributed Verification and Hardness of Distributed Approximation

A Survey on Network Codes for Distributed Storage

Gossip Algorithms for Distributed Signal Processing

Research Challenges for Enterprise Cloud Computing

FedGH: Heterogeneous Federated Learning with Generalized Global Header

FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey

DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments

Client-side transparent caching for remote ROOT data analysis

TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs

Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices

Dependable Structural Helath Monitoring Using Wireless Sensor Networks

'Zhores' -- Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology

Migrating to Cloud-Native Architectures Using Microservices: An Experience Report

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

The Anatomy of Big Data Computing

MLI: An API for Distributed Machine Learning

MakoXC: Rearchitecting DFT Exchange-Correlation with Matrix-Aligned and Knowledge-Organized Sparsity

CREDIT: Cost-guided Reduction-reuse with Efficient DSMEM Inter-CTA Tiling

Robust Analog Function Computation via Wireless Multiple-Access Channels

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

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

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

GRADSOLVE: fast exact gradients for ODE ensembles on GPUs

S2RDF: RDF Querying with SPARQL on Spark

Breaking Cycles for Scalable Fair Ordering in Blockchain Systems

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

Rucio - Scientific data management

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

Federated Learning with Bayesian Differential Privacy

Distributed Submodular Maximization

Blockchain for Decentralization of Internet: Prospects, Trends, and Challenges

Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere

Parallel Heuristics for Scalable Community Detection

XFT: Practical Fault Tolerance Beyond Crashes

Probabilistically Bounded Staleness for Practical Partial Quorums

qHiPSTER: The Quantum High Performance Software Testing Environment

MeanField Surrogate Modeling for Scalable Runtime Scheduling of Concurrent Heterogeneous AI Inference on Shared GPUs

The Serverless Computing Survey: A Technical Primer for Design Architecture

CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning

A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing

BAFFLE : Blockchain Based Aggregator Free Federated Learning

DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference

Ternary Compression for Communication-Efficient Federated Learning

A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment

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

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver

Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks

Federated Accelerated Stochastic Gradient Descent

Repair Optimal Erasure Codes through Hadamard Designs

Federated Learning on the American Science Cloud using APPFL

Efficient Optimal Algorithm of Task Scheduling in Cloud Computing Environment

Lower Bounds and Optimal Algorithms for Personalized Federated Learning

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Carbon Explorer: A Holistic Approach for Designing Carbon Aware Datacenters

QArray+: A physics-informed GPU-accelerated simulator for quantum dot arrays

BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services