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)

661 to 720 of 1,071

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module
Joseph Izraelevitz, Jian Yang, Lu Zhang +9
cs.DCcs.PFarXiv:1903.05714v32019
TerraceMoE: A Cost Model for Hierarchical MoE All-to-All Communication
Weicheng Xue, Bingqiang Wang, Li Yuan +2
cs.DCarXiv:2608.27874v12026
Learning from History for Byzantine Robust Optimization
Sai Praneeth Karimireddy, Lie He, Martin Jaggi
cs.LGcs.DCmath.OCarXiv:2012.10333v32020
Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platforms
Prabhu Vellaisamy, Vanessa Lam, Shawn Blanton +1
cs.PFcs.DCcs.LGarXiv:2608.28044v12026
Learning-Augmented Heuristics: Simple, yet Smart, Robust and Interpretable Cache Eviction
Haocheng Xia, William Nixon, Bintang Dwi Marthen +2
cs.DCarXiv:2608.27975v12026
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?
Stefano Markidis
math.NAcs.DCphysics.comp-pharXiv:2103.09655v22021
Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization
Pascal Bianchi, Jérémie Jakubowicz
math.OCcs.DCeess.SYarXiv:1107.2526v32011
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators
Xuan Yang, Mingyu Gao, Qiaoyi Liu +9
cs.DCarXiv:1809.04070v22018
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
Wen Sun, Shiyu Lei, Lu Wang +2
cs.LGcs.DCarXiv:2010.13058v22020
Characterizing the I/O Behavior of HPC Applications through Modeling and Simulation
Njoud O. Almaaitah, David E. Singh, Taylan Özden +2
cs.DCarXiv:2608.27642v12026
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
Amey Agrawal, Ashish Panwar, Jayashree Mohan +3
cs.LGcs.DCarXiv:2308.16369v12023
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs
Da Zheng, Disa Mhembere, Randal Burns +3
cs.DCarXiv:1408.0500v32014
Federated Graph Classification over Non-IID Graphs
Han Xie, Jing Ma, Li Xiong +1
cs.LGcs.AIcs.DCarXiv:2106.13423v52021
Aneka: A Software Platform for .NET-based Cloud Computing
Christian Vecchiola, Xingchen Chu, Rajkumar Buyya
cs.DCcs.CEcs.NIarXiv:0907.4622v12009
Research On Mobile Cloud Computing: Review, Trend, And Perspectives
Han Qi, Abdullah Gani
cs.DCarXiv:1206.1118v12012
Sorting, Searching, and Simulation in the MapReduce Framework
Michael T. Goodrich, Nodari Sitchinava, Qin Zhang
cs.DCarXiv:1101.1902v12011
Performance Evaluation of Fast Fourier Transforms on Emerging RISC-V Hardware with Vector Extension Support
Daniel Seibel, Kaveh Haghighi Mood, Jayesh Badwaik +3
cs.MScs.DCmath.NAarXiv:2608.28076v12026
Performance Analysis of the Raft Consensus Algorithm for Private Blockchains
Dongyan Huang, Xiaoli Ma, Shengli Zhang
cs.NIcs.DCarXiv:1808.01081v12018
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So, Chaoyang He, Chien-Sheng Yang +5
cs.LGcs.CRcs.DCarXiv:2109.14236v32021
Llumnix: Dynamic Scheduling for Large Language Model Serving
Biao Sun, Ziming Huang, Hanyu Zhao +4
cs.ARcs.DCcs.LGarXiv:2406.03243v12024
Decentralized Deep Learning with Arbitrary Communication Compression
Anastasia Koloskova, Tao Lin, Sebastian U. Stich +1
cs.LGcs.DCcs.DSarXiv:1907.09356v32019
Blockchain Technology as a Regulatory Technology: From Code is Law to Law is Code
Primavera De Filippi, Samer Hassan
cs.CYcs.DCarXiv:1801.02507v12018
Attacking the DeFi Ecosystem with Flash Loans for Fun and Profit
Kaihua Qin, Liyi Zhou, Benjamin Livshits +1
cs.CRcs.DCarXiv:2003.03810v42020
Cloudbus Toolkit for Market-Oriented Cloud Computing
Rajkumar Buyya, Suraj Pandey, Christian Vecchiola
cs.DCarXiv:0910.1974v12009
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
Zhimin Peng, Yangyang Xu, Ming Yan +1
math.OCcs.DCstat.MLarXiv:1506.02396v52015
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
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
Lingjiao Chen, Hongyi Wang, Zachary Charles +1
stat.MLcs.DCcs.ITarXiv:1803.09877v42018
When Internet of Things Meets Blockchain: Challenges in Distributed Consensus
Bin Cao, Yixin Li, Lei Zhang +4
cs.DCarXiv:1905.06022v12019
FISGuard: Defending Against Membership Inference via Fixed Input Subspaces
Haocheng Jiang, Hua Shen
cs.CRcs.AIcs.DCarXiv:2608.27836v12026
A Review on Edge Large Language Models: Design, Execution, and Applications
Yue Zheng, Yuhao Chen, Bin Qian +3
cs.DCarXiv:2410.11845v22024
MDCC: Multi-Data Center Consistency
Tim Kraska, Gene Pang, Michael J. Franklin +1
cs.DBcs.DCarXiv:1203.6049v12012
Towards Building the Federated GPT: Federated Instruction Tuning
Jianyi Zhang, Saeed Vahidian, Martin Kuo +6
cs.CLcs.DCeess.SYarXiv:2305.05644v22023
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Liu Ke, Udit Gupta, Carole-Jean Wu +18
cs.DCcs.ARarXiv:1912.12953v12019
Hierarchical Fog-Cloud Computing for IoT Systems: A Computation Offloading Game
Hamed Shah-Mansouri, Vincent W. S. Wong
cs.DCcs.GTcs.NIarXiv:1710.06089v12017
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning
Ning Liu, Zhe Li, Zhiyuan Xu +5
cs.DCcs.AIarXiv:1703.04221v22017
Scientific Workflow Applications on Amazon EC2
Gideon Juve, Ewa Deelman, Karan Vahi +4
astro-ph.IMcs.DCarXiv:1005.2718v12010
PyTorch-BigGraph: A Large-scale Graph Embedding System
Adam Lerer, Ledell Wu, Jiajun Shen +4
cs.LGcs.AIcs.DCarXiv:1903.12287v32019
Auto-scaling Web Applications in Clouds: A Taxonomy and Survey
Chenhao Qu, Rodrigo N. Calheiros, Rajkumar Buyya
cs.DCarXiv:1609.09224v62016
Exascale Deep Learning for Climate Analytics
Thorsten Kurth, Sean Treichler, Joshua Romero +9
cs.DCarXiv:1810.01993v12018
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang +4
cs.LGcs.CLcs.DCarXiv:2309.14509v22023
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance
Sebastiaan. P. Huber, Spyros Zoupanos, Martin Uhrin +19
cs.DCcond-mat.mtrl-sciarXiv:2003.12476v12020
The server is dead, long live the server: Rise of Serverless Computing, Overview of Current State and Future Trends in Research and Industry
Paul Castro, Vatche Ishakian, Vinod Muthusamy +1
cs.DCcs.SEarXiv:1906.02888v12019
SLA-Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture, and Solutions
Rajkumar Buyya, Saurabh Kumar Garg, Rodrigo N. Calheiros
cs.DCcs.NIarXiv:1201.4522v12012
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma, Jie Zhang, Song Guo +1
cs.DCarXiv:2205.03993v12022
A Survey on Edge Computing Systems and Tools
Fang Liu, Guoming Tang, Youhuizi Li +3
cs.DCcs.NIarXiv:1911.02794v12019
Differentially Private Iterative Synchronous Consensus
Zhenqi Huang, Sayan Mitra, Geir Dullerud
cs.CRcs.DCeess.SYarXiv:1207.4262v22012
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan +2
cs.LGcs.DCarXiv:2101.07511v12021
Localization Technologies for Indoor Human Tracking
Da Zhang, Feng Xia, Zhuo Yang +2
cs.NIcs.DCarXiv:1003.1833v12010
GraphR: Accelerating Graph Processing Using ReRAM
Linghao Song, Youwei Zhuo, Xuehai Qian +2
cs.DCcs.ARarXiv:1708.06248v42017
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
Sergi Abadal, Akshay Jain, Robert Guirado +2
cs.LGcs.DCstat.MLarXiv:2010.00130v32020
Partial FC: Training 10 Million Identities on a Single Machine
Xiang An, Xuhan Zhu, Yang Xiao +7
cs.CVcs.DCarXiv:2010.05222v42020
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Yudong Chen, Lili Su, Jiaming Xu
cs.DCcs.CRcs.LGarXiv:1705.05491v22017
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Mengjia Yan, Christopher Fletcher, Josep Torrellas
cs.DCcs.CRcs.LGarXiv:1808.04761v12018
Machine learning for Internet of Things data analysis: A survey
Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain +3
cs.LGcs.CYcs.DCarXiv:1802.06305v12018
PyTorch Distributed: Experiences on Accelerating Data Parallel Training
Shen Li, Yanli Zhao, Rohan Varma +8
cs.DCcs.LGarXiv:2006.15704v12020
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya +5
cs.DCcs.LGarXiv:2008.12260v22020
Tutel: Adaptive Mixture-of-Experts at Scale
Changho Hwang, Wei Cui, Yifan Xiong +12
cs.DCcs.CLcs.CVarXiv:2206.03382v22022
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Linnan Wang, Jinmian Ye, Yiyang Zhao +5
cs.DCcs.LGarXiv:1801.04380v12018
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
Xutong Mu, Yulong Shen, Ke Cheng +4
cs.LGcs.DCarXiv:2109.12273v12021
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang, Weiwei Lin, Wentai Wu +3
cs.LGcs.DCarXiv:2011.01783v52020

Distributed and Cluster Computing

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

TerraceMoE: A Cost Model for Hierarchical MoE All-to-All Communication

Learning from History for Byzantine Robust Optimization

Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platforms

Learning-Augmented Heuristics: Simple, yet Smart, Robust and Interpretable Cache Eviction

The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?

Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization

Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators

Adaptive Federated Learning and Digital Twin for Industrial Internet of Things

Characterizing the I/O Behavior of HPC Applications through Modeling and Simulation

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs

Federated Graph Classification over Non-IID Graphs

Aneka: A Software Platform for .NET-based Cloud Computing

Research On Mobile Cloud Computing: Review, Trend, And Perspectives

Sorting, Searching, and Simulation in the MapReduce Framework

Performance Evaluation of Fast Fourier Transforms on Emerging RISC-V Hardware with Vector Extension Support

Performance Analysis of the Raft Consensus Algorithm for Private Blockchains

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning

Llumnix: Dynamic Scheduling for Large Language Model Serving

Decentralized Deep Learning with Arbitrary Communication Compression

Blockchain Technology as a Regulatory Technology: From Code is Law to Law is Code

Attacking the DeFi Ecosystem with Flash Loans for Fun and Profit

Cloudbus Toolkit for Market-Oriented Cloud Computing

ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates

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

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

When Internet of Things Meets Blockchain: Challenges in Distributed Consensus

FISGuard: Defending Against Membership Inference via Fixed Input Subspaces

A Review on Edge Large Language Models: Design, Execution, and Applications

MDCC: Multi-Data Center Consistency

Towards Building the Federated GPT: Federated Instruction Tuning

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Hierarchical Fog-Cloud Computing for IoT Systems: A Computation Offloading Game

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

Scientific Workflow Applications on Amazon EC2

PyTorch-BigGraph: A Large-scale Graph Embedding System

Auto-scaling Web Applications in Clouds: A Taxonomy and Survey

Exascale Deep Learning for Climate Analytics

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

The server is dead, long live the server: Rise of Serverless Computing, Overview of Current State and Future Trends in Research and Industry

SLA-Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture, and Solutions

Layer-wised Model Aggregation for Personalized Federated Learning

A Survey on Edge Computing Systems and Tools

Differentially Private Iterative Synchronous Consensus

Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

Localization Technologies for Indoor Human Tracking

GraphR: Accelerating Graph Processing Using ReRAM

Computing Graph Neural Networks: A Survey from Algorithms to Accelerators

Partial FC: Training 10 Million Identities on a Single Machine

Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent

Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures

Machine learning for Internet of Things data analysis: A survey

PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

Tutel: Adaptive Mixture-of-Experts at Scale

SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks

FedProc: Prototypical Contrastive Federated Learning on Non-IID data

An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee