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.

Search paper metadata (including unsummarized papers)

1,741 to 1,798 of 1,798

Research Agenda in Cloud Technologies
Ilango Sriram, Ali Khajeh-Hosseini
cs.DCarXiv:1001.3259v12010
Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores
Xiang Fu, Jixiang Ma, Xinpeng Zhang +3
cs.DCcs.CVarXiv:2608.20725v12026
A Modern Primer on Processing in Memory
Onur Mutlu, Saugata Ghose, Juan Gómez-Luna +3
cs.ARcs.DCarXiv:2012.03112v52020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li, Chuan Chen, Nan Liu +3
cs.DCcs.LGarXiv:2004.00773v12020
Edge AI: A Taxonomy, Systematic Review and Future Directions
Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu +12
cs.DCarXiv:2407.04053v22024
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21
cs.LGcs.CRcs.DCarXiv:2007.10987v12020
Decentralized Applications: The Blockchain-Empowered Software System
Wei Cai, Zehua Wang, Jason B. Ernst +3
cs.DCcs.CRcs.CYarXiv:1810.05365v12018
Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale
Nisha Sarwar, Lei Jiang, Fan Chen
cs.DCcs.AIarXiv:2608.14557v12026
Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing
Simon Shillaker, Peter Pietzuch
cs.DCarXiv:2002.09344v22020
Iterative Approximate Byzantine Consensus in Arbitrary Directed Graphs
Nitin Vaidya, Lewis Tseng, Guanfeng Liang
cs.DCarXiv:1201.4183v22012
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale +22
cs.DCarXiv:1711.09123v22017
Research Challenges for Enterprise Cloud Computing
Ali Khajeh-Hosseini, Ian Sommerville, Ilango Sriram
cs.DCcs.CYarXiv:1001.3257v12010
The Serverless Computing Survey: A Technical Primer for Design Architecture
Zijun Li, Linsong Guo, Jiagan Cheng +3
cs.DCarXiv:2112.12921v22021
A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing
Minxian Xu, Wenhong Tian, Rajkumar Buyya
cs.DCarXiv:1607.06269v32016
A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment
Mayanka Katyal, Atul Mishra
cs.DCarXiv:1403.6918v12014
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
Efficient System-Enforced Deterministic Parallelism
Amittai Aviram, Shu-Chun Weng, Sen Hu +1
cs.OScs.DCarXiv:1005.3450v12010
Massively Parallel Probabilistic Computing with Sparse Ising Machines
Navid Anjum Aadit, Andrea Grimaldi, Mario Carpentieri +4
cs.ETcond-mat.dis-nncs.DCarXiv:2110.02481v22021
Parallel Breadth-First Search on Distributed Memory Systems
Aydin Buluc, Kamesh Madduri
cs.DCcs.MScs.PFarXiv:1104.4518v22011
A Performance Comparison of CUDA and OpenCL
Kamran Karimi, Neil G. Dickson, Firas Hamze
cs.PFcs.DCphysics.comp-pharXiv:1005.2581v32010
AI Hardware Accelerators for Large Language Models: Architectures and the Memory Wall
Siddharth Patel, Rohit Singh
cs.ARcs.DCarXiv:2608.28048v12026
Live Service Migration in Mobile Edge Clouds
Andrew Machen, Shiqiang Wang, Kin K. Leung +2
cs.DCcs.NIarXiv:1706.04118v22017
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu, Lujia Wang, Ming Liu
cs.ROcs.AIcs.DCarXiv:1901.06455v32019
When Internet of Things Meets Blockchain: Challenges in Distributed Consensus
Bin Cao, Yixin Li, Lei Zhang +4
cs.DCarXiv:1905.06022v12019
Towards Building the Federated GPT: Federated Instruction Tuning
Jianyi Zhang, Saeed Vahidian, Martin Kuo +6
cs.CLcs.DCeess.SYarXiv:2305.05644v22023
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes
Takuya Akiba, Shuji Suzuki, Keisuke Fukuda
cs.DCcs.CVcs.LGarXiv:1711.04325v12017
Semantic Gateway as a Service architecture for IoT Interoperability
Pratikkumar Desai, Amit Sheth, Pramod Anantharam
cs.NIcs.DCarXiv:1410.4977v12014
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges
Luiz F. Bittencourt, Roger Immich, Rizos Sakellariou +7
cs.DCarXiv:1809.09972v12018
The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise
Ali Khajeh-Hosseini, David Greenwood, James W. Smith +1
cs.DCarXiv:1008.1900v12010
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Da Zheng, Chao Ma, Minjie Wang +6
cs.LGcs.DCarXiv:2010.05337v32020
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Shiqing Fan, Yi Rong, Chen Meng +10
cs.DCarXiv:2007.01045v12020
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
Siddharth Samsi, Dan Zhao, Joseph McDonald +7
cs.CLcs.DCarXiv:2310.03003v12023
TensorFlow-Serving: Flexible, High-Performance ML Serving
Christopher Olston, Noah Fiedel, Kiril Gorovoy +6
cs.DCcs.LGarXiv:1712.06139v22017
Federated Learning for Open Banking
Guodong Long, Yue Tan, Jing Jiang +1
cs.DCcs.LGarXiv:2108.10749v12021
Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking
Zhe Jia, Marco Maggioni, Benjamin Staiger +1
cs.DCcs.PFarXiv:1804.06826v12018
Towards Reproducible Evaluation of Distributed Quantum Circuit Partitioning Algorithms
Javier Vela-Tambo, Davud Azizov, Tian Guo
quant-phcs.DCarXiv:2608.27099v12026
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
En Li, Zhi Zhou, Xu Chen
cs.DCcs.AIcs.CVarXiv:1806.07840v42018
Blockchain for Future Smart Grid: A Comprehensive Survey
Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato +5
cs.CRcs.DCcs.NIarXiv:1911.03298v22019
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
Latif U. Khan, Shashi Raj Pandey, Nguyen H. Tran +4
cs.DCarXiv:1911.05642v32019
An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
Jian Yang, Juno Kim, Morteza Hoseinzadeh +2
cs.DCcs.PFarXiv:1908.03583v12019
Optimizing API Gateway Placement in Multi-Cloud Kubernetes
Vinoth Punniyamoorthy, Murali Shankar Dulam, Aswathnarayan Muthukrishnan Kirubakaran +5
cs.DCarXiv:2608.26573v12026
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen +6
cs.CRcs.DCarXiv:2009.00858v22020
Challenges and Opportunities in Edge Computing
Blesson Varghese, Nan Wang, Sakil Barbhuiya +2
cs.DCarXiv:1609.01967v12016
The GAP Benchmark Suite
Scott Beamer, Krste Asanović, David Patterson
cs.DCcs.DSarXiv:1508.03619v42015
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
Serverless Computing: Current Trends and Open Problems
Ioana Baldini, Paul Castro, Kerry Chang +8
cs.DCarXiv:1706.03178v12017
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
OpenTinker: Separating Concerns in Agentic Reinforcement Learning
Siqi Zhu, Jiaxuan You
cs.AIcs.DCarXiv:2601.07376v22026
Fog Computing: A Taxonomy, Survey and Future Directions
Redowan Mahmud, Ramamohanarao Kotagiri, Rajkumar Buyya
cs.DCarXiv:1611.05539v42016
MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era
Lei Zhang, Mouxiang Chen, Ruisheng Cao +16
cs.DCcs.SEarXiv:2601.07526v22026
Tune: A Research Platform for Distributed Model Selection and Training
Richard Liaw, Eric Liang, Robert Nishihara +3
cs.LGcs.DCstat.MLarXiv:1807.05118v12018
InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services
Rajkumar Buyya, Rajiv Ranjan, Rodrigo N. Calheiros
cs.DCarXiv:1003.3920v12010
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
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
Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon
Víctor Gallego
cs.LGcs.AIcs.DCarXiv:2605.09708v22026
Cloud Computing and Grid Computing 360-Degree Compared
Ian Foster, Yong Zhao, Ioan Raicu +1
cs.DCarXiv:0901.0131v12008
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

Distributed and Cluster Computing

Research Agenda in Cloud Technologies

Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores

A Modern Primer on Processing in Memory

A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus

Edge AI: A Taxonomy, Systematic Review and Future Directions

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Decentralized Applications: The Blockchain-Empowered Software System

Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale

Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing

Iterative Approximate Byzantine Consensus in Arbitrary Directed Graphs

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

Research Challenges for Enterprise Cloud Computing

The Serverless Computing Survey: A Technical Primer for Design Architecture

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

A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment

Federated Learning on the American Science Cloud using APPFL

Efficient Optimal Algorithm of Task Scheduling in Cloud Computing Environment

Efficient System-Enforced Deterministic Parallelism

Massively Parallel Probabilistic Computing with Sparse Ising Machines

Parallel Breadth-First Search on Distributed Memory Systems

A Performance Comparison of CUDA and OpenCL

AI Hardware Accelerators for Large Language Models: Architectures and the Memory Wall

Live Service Migration in Mobile Edge Clouds

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

When Internet of Things Meets Blockchain: Challenges in Distributed Consensus

Towards Building the Federated GPT: Federated Instruction Tuning

Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes

Semantic Gateway as a Service architecture for IoT Interoperability

The Internet of Things, Fog and Cloud Continuum: Integration and Challenges

The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

DAPPLE: A Pipelined Data Parallel Approach for Training Large Models

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

TensorFlow-Serving: Flexible, High-Performance ML Serving

Federated Learning for Open Banking

Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Towards Reproducible Evaluation of Distributed Quantum Circuit Partitioning Algorithms

Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy

Blockchain for Future Smart Grid: A Comprehensive Survey

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

An Empirical Guide to the Behavior and Use of Scalable Persistent Memory

Optimizing API Gateway Placement in Multi-Cloud Kubernetes

A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions

Challenges and Opportunities in Edge Computing

The GAP Benchmark Suite

Structural biology in the clouds: The WeNMR-EOSC Ecosystem

Serverless Computing: Current Trends and Open Problems

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

OpenTinker: Separating Concerns in Agentic Reinforcement Learning

Fog Computing: A Taxonomy, Survey and Future Directions

MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era

Tune: A Research Platform for Distributed Model Selection and Training

InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services

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

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

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

Cloud Computing and Grid Computing 360-Degree Compared

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