Image de couverture de livre

Uncoded Storage Coded Transmission Elastic Computing with Straggler Tolerance in Heterogeneous Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhong, Xi, Kliewer, Joerg, Ji, Mingyue
Format:	Preprint
Publié:	2024
Sujets:	Information Theory Distributed, Parallel, and Cluster Computing Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

Dual-Lagrange Encoding for Storage and Download in Elastic Computing for Resilience
par: Zhong, Xi, et autres
Publié: (2025)

Fundamental Limits of Coded Polynomial Aggregation
par: Zhong, Xi, et autres
Publié: (2026)

A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
par: Wang, Jiayi, et autres
Publié: (2024)

A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
par: Wang, Shiqiang, et autres
Publié: (2023)

A Unified Analysis of Federated Learning with Arbitrary Client Participation
par: Wang, Shiqiang, et autres
Publié: (2022)

Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
par: Wang, Jiayi, et autres
Publié: (2020)

Modeling Task Mapping for Data-intensive Applications in Heterogeneous Systems
par: Wilhelm, Martin, et autres
Publié: (2022)

Resource Allocation for Stable LLM Training in Mobile Edge Computing
par: Liu, Chang, et autres
Publié: (2024)

Coded Data Rebalancing for Distributed Data Storage Systems with Cyclic Storage
par: Vaishya, Abhinav, et autres
Publié: (2022)

Large-Scale LLM Inference with Heterogeneous Workloads: Prefill-Decode Contention and Asymptotically Optimal Control
par: Lin, Ruihan, et autres
Publié: (2026)

Wireless Distributed Matrix-Vector Multiplication using Over-the-Air Computation and Analog Coding
par: Choi, Jinho
Publié: (2024)

D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems
par: Li, Hongpei, et autres
Publié: (2026)

A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems
par: Ryu, Minseok, et autres
Publié: (2025)

MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times
par: Maranjyan, Artavazd, et autres
Publié: (2024)

FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data
par: Zhou, Yuan, et autres
Publié: (2025)

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity
par: Mahran, Ammar, et autres
Publié: (2026)

Distributed Linearly Separable Computation with Arbitrary Heterogeneous Data Assignment
par: Zhang, Ziting, et autres
Publié: (2026)

Wireless MapReduce Arrays for Coded Distributed Computing
par: Peter, Elizabath, et autres
Publié: (2024)

Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization
par: Li, Jiaxiang, et autres
Publié: (2024)

An efficient implementation of parallel simulated annealing algorithm in GPUs
par: Ferreiro, A. M., et autres
Publié: (2024)

Average-case optimization analysis for distributed consensus algorithms on regular graphs
par: Nguyen, Nhat Trung, et autres
Publié: (2024)

Load Balancing with Network Latencies via Distributed Gradient Descent
par: Balseiro, Santiago R., et autres
Publié: (2025)

An Optimistic Gradient Tracking Method for Distributed Minimax Optimization
par: Huang, Yan, et autres
Publié: (2025)

Tailoring Gradient Methods for Differentially-Private Distributed Optimization
par: Wang, Yongqiang, et autres
Publié: (2022)

A First-Order Algorithm for Decentralised Min-Max Problems
par: Malitsky, Yura, et autres
Publié: (2023)

Temporal Parallelisation of the HJB Equation and Continuous-Time Linear Quadratic Control
par: Särkkä, Simo, et autres
Publié: (2022)

Decentralized Distributed Optimization for Saddle Point Problems
par: Rogozin, Alexander, et autres
Publié: (2021)

Decentralized Nonsmooth Nonconvex Optimization with Client Sampling
par: Chen, Xinyan, et autres
Publié: (2026)

Non-ergodic linear convergence property of the delayed gradient descent under the strongly convexity and the Polyak-Łojasiewicz condition
par: Choi, Hyung Jun, et autres
Publié: (2023)

Distributed Stochastic Momentum Tracking with Local Updates: Achieving Optimal Communication and Iteration Complexities
par: Huang, Kun, et autres
Publié: (2025)

Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines
par: Liu, Felix, et autres
Publié: (2023)

From Sequential to Parallel: Reformulating Dynamic Programming as GPU Kernels for Large-Scale Stochastic Combinatorial Optimization
par: Zhao, Jingyi, et autres
Publié: (2026)

Smoothed Gradient Clipping and Error Feedback for Decentralized Optimization under Symmetric Heavy-Tailed Noise
par: Yu, Shuhua, et autres
Publié: (2023)

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods
par: Shin, Sungho, et autres
Publié: (2023)

Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness
par: Messilem, Mohamed Abdelmouamin, et autres
Publié: (2025)

One-Point Feedback for Composite Optimization with Applications to Distributed and Federated Learning
par: Beznosikov, Aleksandr, et autres
Publié: (2021)

Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization
par: Lin, Zhenwei, et autres
Publié: (2023)

GPU-Accelerated Primal Heuristics for Mixed Integer Programming
par: Çördük, Akif, et autres
Publié: (2025)

Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
par: Heydaribeni, Nasimeh, et autres
Publié: (2023)