Image de couverture de livre

Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Das, Anindya Bijoy, Ramamoorthy, Aditya, Love, David J., Brinton, Christopher G.
Format:	Preprint
Publié:	2024
Sujets:	Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach
par: Das, Anindya Bijoy, et autres
Publié: (2019)

Exploiting Stragglers in Distributed Computing Systems with Task Grouping
par: Adikari, Tharindu, et autres
Publié: (2024)

dSTAR: Straggler Tolerant and Byzantine Resilient Distributed SGD
par: Yan, Jiahe, et autres
Publié: (2024)

CoCoI: Distributed Coded Inference System for Straggler Mitigation
par: Liu, Xing, et autres
Publié: (2025)

Workload Distribution with Rateless Encoding: A Low-Latency Computation Offloading Method within Edge Networks
par: Guo, Zhongfu, et autres
Publié: (2023)

Sparsity-Aware Roofline Models for Sparse Matrix-Matrix Multiplication
par: Qian, Matthew, et autres
Publié: (2026)

Straggler Tolerant and Resilient DL Training on Homogeneous GPUs
par: Zhang, Zeyu, et autres
Publié: (2025)

Communication-Efficient Approximate Gradient Coding
par: Munim, Sifat, et autres
Publié: (2026)

Optimal Server Selection for Straggler Mitigation
par: Badita, Ajay, et autres
Publié: (2019)

Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency
par: Yakubov, Diyaz, et autres
Publié: (2025)

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation
par: Wu, Tianyuan, et autres
Publié: (2025)

General Coded Computing in a Probabilistic Straggler Regime
par: Moradi, Parsa, et autres
Publié: (2025)

Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations
par: Daas, Hussam Al, et autres
Publié: (2024)

Distributed Load Orchestration for Vision Computing in Multi-Access Edge Computing
par: Boing, Ricardo N., et autres
Publié: (2022)

The Singular Optimality of Distributed Computation in LOCAL
par: Dufoulon, Fabien, et autres
Publié: (2024)

Cost-Effective Edge Data Distribution with End-To-End Delay Guarantees in Edge Computing
par: Shankar, Ravi, et autres
Publié: (2025)

Uncoded Download in Lagrange-Coded Elastic Computing with Straggler Tolerance
par: Zhong, Xi, et autres
Publié: (2025)

EDD-NSTE: Edge Data Distribution as a Network Steiner Tree Estimation in Edge Computing
par: Shankar, Ravi, et autres
Publié: (2025)

Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
par: Qiu, Houming, et autres
Publié: (2025)

Privacy-Preserving Coding Schemes for Multi-Access Distributed Computing Models
par: Sasi, Shanuja
Publié: (2026)

Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers
par: Li, Chengxi, et autres
Publié: (2024)

Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
par: Han, Dong-Jun, et autres
Publié: (2024)

Efficient AllReduce with Stragglers
par: Devraj, Arjun, et autres
Publié: (2025)

A Quick and Exact Method for Distributed Quantile Computation
par: Cao, Ivan, et autres
Publié: (2025)

EdgeSphere: A Three-Tier Architecture for Cognitive Edge Computing
par: Makaya, Christian, et autres
Publié: (2024)

MSAO: Adaptive Modality Sparsity-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
par: Yang, Zheming, et autres
Publié: (2026)

Mobile Edge Computing
par: Ahmed, Sohaib, et autres
Publié: (2024)

Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks
par: Xia, Mengchun, et autres
Publié: (2026)

Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
par: Li, Haoyang, et autres
Publié: (2024)

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes
par: Xiao, Youshao, et autres
Publié: (2024)

Distributed Edge Analytics in Edge-Fog-Cloud Continuum
par: Srirama, Satish Narayana
Publié: (2024)

EdgeFaaS: A Function-based Framework for Edge Computing
par: Jin, Runyu, et autres
Publié: (2022)

CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing
par: Wu, Li, et autres
Publié: (2025)

An Adaptive Distributed Stencil Abstraction for GPUs
par: Bhosale, Aditya, et autres
Publié: (2025)

SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication
par: Zhuang, Chen, et autres
Publié: (2025)

A Distributed Edge FLISR Solution & Network Simulation Test Platform
par: Leniston, Darren, et autres
Publié: (2024)

EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
par: Zhang, Mingjin, et autres
Publié: (2024)

Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
par: Peng, Haosong, et autres
Publié: (2024)

Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication
par: Ranawaka, Isuru, et autres
Publié: (2024)

A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis
par: Trieu, Quoc Lap, et autres
Publié: (2026)