Exploiting Stragglers in Distributed Computing Systems with Task Grouping
Fuente:
arXiv
Saved in:
| Main Authors: | Adikari, Tharindu, Al-Lawati, Haider, Lam, Jason, Hu, Zhenhua, Draper, Stark C. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge
by: Das, Anindya Bijoy, et al.
Published: (2024)
by: Das, Anindya Bijoy, et al.
Published: (2024)
CoCoI: Distributed Coded Inference System for Straggler Mitigation
by: Liu, Xing, et al.
Published: (2025)
by: Liu, Xing, et al.
Published: (2025)
dSTAR: Straggler Tolerant and Byzantine Resilient Distributed SGD
by: Yan, Jiahe, et al.
Published: (2024)
by: Yan, Jiahe, et al.
Published: (2024)
Straggler Tolerant and Resilient DL Training on Homogeneous GPUs
by: Zhang, Zeyu, et al.
Published: (2025)
by: Zhang, Zeyu, et al.
Published: (2025)
Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation
by: Wu, Tianyuan, et al.
Published: (2025)
by: Wu, Tianyuan, et al.
Published: (2025)
General Coded Computing in a Probabilistic Straggler Regime
by: Moradi, Parsa, et al.
Published: (2025)
by: Moradi, Parsa, et al.
Published: (2025)
Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-the-air Computation
by: Ma, Qianpiao, et al.
Published: (2025)
by: Ma, Qianpiao, et al.
Published: (2025)
Uncoded Download in Lagrange-Coded Elastic Computing with Straggler Tolerance
by: Zhong, Xi, et al.
Published: (2025)
by: Zhong, Xi, et al.
Published: (2025)
Composing Distributed Computations Through Task and Kernel Fusion
by: Yadav, Rohan, et al.
Published: (2024)
by: Yadav, Rohan, et al.
Published: (2024)
Task Scheduling in Geo-Distributed Computing: A Survey
by: Wu, Yujian, et al.
Published: (2025)
by: Wu, Yujian, et al.
Published: (2025)
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers
by: Li, Chengxi, et al.
Published: (2024)
by: Li, Chengxi, et al.
Published: (2024)
Efficient AllReduce with Stragglers
by: Devraj, Arjun, et al.
Published: (2025)
by: Devraj, Arjun, et al.
Published: (2025)
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes
by: Xiao, Youshao, et al.
Published: (2024)
by: Xiao, Youshao, et al.
Published: (2024)
Exploiting the Uncertainty of the Longest Paths: Response Time Analysis for Probabilistic DAG Tasks
by: Gao, Yiyang, et al.
Published: (2025)
by: Gao, Yiyang, et al.
Published: (2025)
SmartQC: An Extensible DLT-Based Framework for Trusted Data Workflows in Smart Manufacturing
by: McGibney, Alan, et al.
Published: (2024)
by: McGibney, Alan, et al.
Published: (2024)
Controlled privacy leakage propagation throughout overlapping grouped learning
by: Kiani, Shahrzad, et al.
Published: (2025)
by: Kiani, Shahrzad, et al.
Published: (2025)
Data Management System Analysis for Distributed Computing Workloads
by: Hsu, Kuan-Chieh, et al.
Published: (2025)
by: Hsu, Kuan-Chieh, et al.
Published: (2025)
PowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training
by: Mehboob, Talha, et al.
Published: (2025)
by: Mehboob, Talha, et al.
Published: (2025)
Uncoded Storage Coded Transmission Elastic Computing with Straggler Tolerance in Heterogeneous Systems
by: Zhong, Xi, et al.
Published: (2024)
by: Zhong, Xi, et al.
Published: (2024)
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
by: Hong, Shu, et al.
Published: (2024)
by: Hong, Shu, et al.
Published: (2024)
Improved Methods of Task Assignment and Resource Allocation with Preemption in Edge Computing Systems
by: Rublein, Caroline, et al.
Published: (2024)
by: Rublein, Caroline, et al.
Published: (2024)
Navigating the Energy Doldrums: Can We Exploit Energy-Price Volatility To Lower the Cost of Computing?
by: Arzt, Peter, et al.
Published: (2025)
by: Arzt, Peter, et al.
Published: (2025)
A Reinforcement Learning-Driven Task Scheduling Algorithm for Multi-Tenant Distributed Systems
by: Zhang, Xiaopei, et al.
Published: (2025)
by: Zhang, Xiaopei, et al.
Published: (2025)
FEPLB: Exploiting Copy Engines for Nearly Free MoE Load Balancing in Distributed Training
by: Qi, Shuyao, et al.
Published: (2026)
by: Qi, Shuyao, et al.
Published: (2026)
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
by: Xiong, Guojun, et al.
Published: (2023)
by: Xiong, Guojun, et al.
Published: (2023)
Understanding Stragglers in Large Model Training Using What-if Analysis
by: Lin, Jinkun, et al.
Published: (2025)
by: Lin, Jinkun, et al.
Published: (2025)
A Framework for Carbon-aware Real-Time Workload Management in Clouds using Renewables-driven Cores
by: Hewage, Tharindu B., et al.
Published: (2024)
by: Hewage, Tharindu B., et al.
Published: (2024)
Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference
by: Hewage, Tharindu B., et al.
Published: (2025)
by: Hewage, Tharindu B., et al.
Published: (2025)
Supervised Distributed Computing
by: Augustine, John, et al.
Published: (2025)
by: Augustine, John, et al.
Published: (2025)
Optimal Server Selection for Straggler Mitigation
by: Badita, Ajay, et al.
Published: (2019)
by: Badita, Ajay, et al.
Published: (2019)
A Multi-Port Concurrent Communication Model for handling Compute Intensive Tasks on Distributed Satellite System Constellations
by: Veeravalli, Bharadwaj
Published: (2026)
by: Veeravalli, Bharadwaj
Published: (2026)
SpecInF: Exploiting Idle GPU Resources in Distributed DL Training via Speculative Inference Filling
by: Lv, Cunchi, et al.
Published: (2025)
by: Lv, Cunchi, et al.
Published: (2025)
When Agents Control Robots: A Zero Trust Policy Model for Agentic Cyber-Physical Systems
by: Ranathunga, Tharindu, et al.
Published: (2026)
by: Ranathunga, Tharindu, et al.
Published: (2026)
FedCore: Straggler-Free Federated Learning with Distributed Coresets
by: Guo, Hongpeng, et al.
Published: (2024)
by: Guo, Hongpeng, et al.
Published: (2024)
System-Level Performance Modeling of Photonic In-Memory Computing
by: Arockiaraj, Jebacyril, et al.
Published: (2026)
by: Arockiaraj, Jebacyril, et al.
Published: (2026)
A Survey of Computation Offloading with Task Types
by: Zhang, Siqi, et al.
Published: (2023)
by: Zhang, Siqi, et al.
Published: (2023)
ColonyOS -- A Meta-Operating System for Distributed Computing Across Heterogeneous Platform
by: Kristiansson, Johan
Published: (2024)
by: Kristiansson, Johan
Published: (2024)
Performance of Distributed File Systems on Cloud Computing Environment: An Evaluation for Small-File Problem
by: Duong, Thanh, et al.
Published: (2023)
by: Duong, Thanh, et al.
Published: (2023)
Distributed Computation with Local Advice
by: Balliu, Alkida, et al.
Published: (2024)
by: Balliu, Alkida, et al.
Published: (2024)
Similar Items
-
Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge
by: Das, Anindya Bijoy, et al.
Published: (2024) -
CoCoI: Distributed Coded Inference System for Straggler Mitigation
by: Liu, Xing, et al.
Published: (2025) -
dSTAR: Straggler Tolerant and Byzantine Resilient Distributed SGD
by: Yan, Jiahe, et al.
Published: (2024) -
Straggler Tolerant and Resilient DL Training on Homogeneous GPUs
by: Zhang, Zeyu, et al.
Published: (2025) -
Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation
by: Wu, Tianyuan, et al.
Published: (2025)