Distributed and Cluster Computing

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CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
Rodrigo N. Calheiros, Rajiv Ranjan, Cesar A. F. De Rose +1
cs.DCcs.OScs.SEarXiv:0903.2525v12009
HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments
Shreshth Tuli, Nipam Basumatary, Sukhpal Singh Gill +4
cs.DCeess.SParXiv:1911.06633v12019
Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMs
Hariharan Ramesh, Someshwaran Murugaiyan, Jyotikrishna Dass
cs.LGcs.CLcs.DCarXiv:2608.22188v12026
Scaling Distributed Machine Learning with In-Network Aggregation
Amedeo Sapio, Marco Canini, Chen-Yu Ho +7
cs.DCcs.LGcs.NIarXiv:1903.06701v22019
NEXT: In-Network Nonconvex Optimization
Paolo Di Lorenzo, Gesualdo Scutari
cs.DCeess.SYmath.OCarXiv:1602.00591v12016
PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation
Andreas Klöckner, Nicolas Pinto, Yunsup Lee +3
cs.DCcs.SEarXiv:0911.3456v22009
FlashReg: GPU-Accelerated 3-Clique Point Cloud Registration for Real-Time Correspondence-to-Pose Estimation
Ziyang Yu, Xiang Li, Qiong Chang +1
cs.CVcs.DCarXiv:2608.21804v12026
LIKWID: Lightweight Performance Tools
Jan Treibig, Georg Hager, Gerhard Wellein
cs.DCcs.PFarXiv:1104.4874v22011
Fast k Nearest Neighbor Search using GPU
Vincent Garcia, Eric Debreuve, Michel Barlaud
cs.CVcs.DCarXiv:0804.1448v12008
A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures
Alfredo Buttari, Julien Langou, Jakub Kurzak +1
cs.MScs.DCarXiv:0709.1272v32007
Gunrock: A High-Performance Graph Processing Library on the GPU
Yangzihao Wang, Andrew Davidson, Yuechao Pan +3
cs.DCarXiv:1501.05387v62015
ShardMeter: Sharded and Geo-Distributed Training Without the Guesswork
Tim Beringer, Patrick Diem, Felix Wolf +1
cs.DCcs.AIarXiv:2608.23840v12026
KMC 3: counting and manipulating k-mer statistics
Marek Kokot, Maciej Długosz, Sebastian Deorowicz
q-bio.GNcs.DCcs.DSarXiv:1701.08022v12017
Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions
Yue Li, Sudip Bhujel, Cameron Lira +2
cs.DCcs.CRcs.LGarXiv:2608.22552v12026
Recent Advances in Bayesian Optimization
Xilu Wang, Yaochu Jin, Sebastian Schmitt +1
cs.LGcs.DCcs.NEarXiv:2206.03301v22022
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization
Angelia Nedić, Alex Olshevsky, Michael G. Rabbat
math.OCcs.DCcs.MAarXiv:1709.08765v22017
Conditional GraphGANFed: Optimizing Graph-Structured Molecule Generation in Federated Generative Adversarial Networks
Daniel Manu, Abee Alazzwi
cs.LGcs.DCarXiv:2608.24610v12026
Recent Advances in Graph Partitioning
Aydin Buluc, Henning Meyerhenke, Ilya Safro +2
cs.DScs.DCmath.COarXiv:1311.3144v32013
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao +5
cs.LGcs.AIcs.DCarXiv:2201.05596v22022
Mixed-Precision SEM-Based CFD Simulations on GPUs: A Taylor-Green Vortex case
Yanxiang Chen, Manuel Münsch, Roman Iakymchuk
cs.DCcs.SEarXiv:2608.24348v12026
Federated Learning over Wireless Fading Channels
Mohammad Mohammadi Amiri, Deniz Gunduz
cs.ITcs.DCcs.LGarXiv:1907.09769v22019
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi +5
cs.DCcs.LGarXiv:2101.06840v12021
Beyond Data and Model Parallelism for Deep Neural Networks
Zhihao Jia, Matei Zaharia, Alex Aiken
cs.DCarXiv:1807.05358v12018
A Survey of Timing Variability in Microservice-Based Software-Defined Vehicles
Cyrus K. Vattes, Habib Mostafaei, Nirvana Meratnia
cs.DCcs.SEarXiv:2608.23649v12026
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng +3
cs.ITcs.DCarXiv:2206.00422v12022
The GAP Benchmark Suite
Scott Beamer, Krste Asanović, David Patterson
cs.DCcs.DSarXiv:1508.03619v42015
Asynchronous Verifiable Information Dispersal with Low Space and Communication Complexity
Thomas Locher, Yvonne-Anne Pignolet
cs.DCcs.CRcs.ITarXiv:2608.24636v12026
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
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
Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
Leszek Sliwko, Jolanta Mizeria-Pietraszko
cs.AIcs.DCcs.LGarXiv:2601.09282v22026
Blockchain Consensus Protocols in the Wild
Christian Cachin, Marko Vukolić
cs.DCarXiv:1707.01873v22017
Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities
Zhong Fan, Parag Kulkarni, Sedat Gormus +6
cs.NIcs.DCarXiv:1112.3516v12011
A Survey on Blockchain Interoperability: Past, Present, and Future Trends
Rafael Belchior, André Vasconcelos, Sérgio Guerreiro +1
cs.DCcs.CRarXiv:2005.14282v32020
ORBITALIF: An Efficient Spiking Federated Learning Framework for Onboard Cloud Removal
Bohan Zhang, Chenyu Xu, Yijie Mao +1
cs.NEcs.AIcs.CVarXiv:2608.24073v12026
Mitigating Sybils in Federated Learning Poisoning
Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh
cs.LGcs.CRcs.DCarXiv:1808.04866v52018
Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
Ravi Ghadia, Maksim Abraham, Sergei Vorobyov +1
cs.LGcs.DCarXiv:2602.21196v22026
Structural biology in the clouds: The WeNMR-EOSC Ecosystem
Rodrigo Vargas Honorato, Panagiotis I. Koukos, Brian Jiménez-García +5
q-bio.BMcs.CEcs.DCarXiv:2107.01056v12021
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha +5
cs.NIcs.DCcs.ITarXiv:1906.08452v22019
ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
Liu Yang, Zeyu Nie, Andrew Liu +4
cs.LGcs.DCcs.NEarXiv:2603.02510v22026
Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference
Zifan He, Rui Ma, Yizhou Sun +1
cs.DCcs.AIarXiv:2603.29002v32026
Scalpel3: A High-Performance Data Carving Architecture for Recovery of Fragmented Files
Karley Waguespack, Samuel Goodwin, George Hendrick +8
cs.DCcs.CRarXiv:2608.20363v22026
Ghost Echoes: Semantic Erasure Failure in Retrieval-Backed Applications
Allan Mukkuzhi, Noella Uwayisenga, Yeabsira Bizualem +2
cs.DBcs.CRcs.DCarXiv:2608.20352v12026
NeuroPrefetcher: Storage-Aware Sparse LLM Inference via Delta Prefetching
Nobel Dhar, Md Romyull Islam, Xuechen Zhang +4
cs.DCcs.LGarXiv:2608.22643v12026
Serverless Computing: Current Trends and Open Problems
Ioana Baldini, Paul Castro, Kerry Chang +8
cs.DCarXiv:1706.03178v12017
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
Jingwei Song, Meng Chen, Jie Xiao +15
cs.LGcs.DCarXiv:2602.02192v52026
Optimal Distributed Online Prediction using Mini-Batches
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir +1
cs.LGcs.DCmath.OCarXiv:1012.1367v22010
ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization
Ilka Antcheva, Maarten Ballintijn, Bertrand Bellenot +24
physics.data-ancs.DCarXiv:1508.07749v12015
Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges
Rajkumar Buyya, Anton Beloglazov, Jemal Abawajy
cs.DCarXiv:1006.0308v12010
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
Amey Agrawal, Nitin Kedia, Ashish Panwar +5
cs.LGcs.DCarXiv:2403.02310v32024
veScale-FSDP: Flexible and High-Performance FSDP at Scale
Zezhou Wang, Youjie Li, Zhiqi Lin +9
cs.DCcs.AIcs.LGarXiv:2602.22437v32026
A Little Is Enough: Circumventing Defenses For Distributed Learning
Moran Baruch, Gilad Baruch, Yoav Goldberg
cs.LGcs.CRcs.DCarXiv:1902.06156v12019
Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
Cosmo Santoni, Anmol Thapar
cs.LGcs.AIcs.DCarXiv:2603.09555v22026
Revisiting Parameter Server in LLM Post-Training
Xinyi Wan, Penghui Qi, Guangxing Huang +3
cs.DCcs.AIarXiv:2601.19362v12026
Asynchronous Federated Optimization
Cong Xie, Sanmi Koyejo, Indranil Gupta
cs.DCcs.LGarXiv:1903.03934v52019
GCA: Global Centroid Alignment in Federated Learning
Jong-Ik Park, Harry Jiang, Logan Blakely +3
cs.LGcs.DCarXiv:2608.22593v12026
Next Generation Cloud Computing: New Trends and Research Directions
Blesson Varghese, Rajkumar Buyya
cs.DCarXiv:1707.07452v32017
XORing Elephants: Novel Erasure Codes for Big Data
Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris Papailiopoulos +4
cs.ITcs.DCcs.NIarXiv:1301.3791v12013
BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data
Sameer Agarwal, Aurojit Panda, Barzan Mozafari +2
cs.DBcs.DCarXiv:1203.5485v22012
FlowPrefill: Decoupling Preemption from Prefill Scheduling Granularity to Mitigate Head-of-Line Blocking in LLM Serving
Chia-chi Hsieh, Zan Zong, Xinyang Chen +3
cs.DCcs.AIarXiv:2602.16603v12026
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
cs.CVcs.DCarXiv:1709.01921v12017

Distributed and Cluster Computing

CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services

HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments

Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMs

Scaling Distributed Machine Learning with In-Network Aggregation

NEXT: In-Network Nonconvex Optimization

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

FlashReg: GPU-Accelerated 3-Clique Point Cloud Registration for Real-Time Correspondence-to-Pose Estimation

LIKWID: Lightweight Performance Tools

Fast k Nearest Neighbor Search using GPU

A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures

Gunrock: A High-Performance Graph Processing Library on the GPU

ShardMeter: Sharded and Geo-Distributed Training Without the Guesswork

KMC 3: counting and manipulating k-mer statistics

Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions

Recent Advances in Bayesian Optimization

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

Conditional GraphGANFed: Optimizing Graph-Structured Molecule Generation in Federated Generative Adversarial Networks

Recent Advances in Graph Partitioning

DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale

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

Federated Learning over Wireless Fading Channels

ZeRO-Offload: Democratizing Billion-Scale Model Training

Beyond Data and Model Parallelism for Deep Neural Networks

A Survey of Timing Variability in Microservice-Based Software-Defined Vehicles

Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

The GAP Benchmark Suite

Asynchronous Verifiable Information Dispersal with Low Space and Communication Complexity

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

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

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing

Blockchain Consensus Protocols in the Wild

Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

ORBITALIF: An Efficient Spiking Federated Learning Framework for Onboard Cloud Removal

Mitigating Sybils in Federated Learning Poisoning

Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking

Structural biology in the clouds: The WeNMR-EOSC Ecosystem

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution

Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference

Scalpel3: A High-Performance Data Carving Architecture for Recovery of Fragmented Files

Ghost Echoes: Semantic Erasure Failure in Retrieval-Backed Applications

NeuroPrefetcher: Storage-Aware Sparse LLM Inference via Delta Prefetching

Serverless Computing: Current Trends and Open Problems

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

Optimal Distributed Online Prediction using Mini-Batches

ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization

Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

veScale-FSDP: Flexible and High-Performance FSDP at Scale

A Little Is Enough: Circumventing Defenses For Distributed Learning

Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference

Revisiting Parameter Server in LLM Post-Training

Asynchronous Federated Optimization

GCA: Global Centroid Alignment in Federated Learning

Next Generation Cloud Computing: New Trends and Research Directions

XORing Elephants: Novel Erasure Codes for Big Data

BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data

FlowPrefill: Decoupling Preemption from Prefill Scheduling Granularity to Mitigate Head-of-Line Blocking in LLM Serving

Distributed Deep Neural Networks over the Cloud, the Edge and End Devices