Cover Image

TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Zheng, Xing, Jing, Gu, Yida, Huang, Wenjing, Dai, Dong, Tan, Guangming, Tao, Dingwen
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework
by: Zhang, Boyuan, et al.
Published: (2024)

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
by: Liu, Zedong, et al.
Published: (2025)

KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving
by: Liu, Zedong, et al.
Published: (2026)

Monotone Erasure Codes
by: Bammert, Vivien, et al.
Published: (2026)

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs
by: Yang, Jinwu, et al.
Published: (2026)

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training
by: Liu, Man, et al.
Published: (2026)

STELLAR: Storage Tuning Engine Leveraging LLM Autonomous Reasoning for High Performance Parallel File Systems
by: Egersdoerfer, Chris, et al.
Published: (2026)

DSPE: Profit Maximization in Edge-Cloud Storage System using Dynamic Space Partitioning with Erasure Code
by: Roy, Shubhradeep, et al.
Published: (2025)

CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training
by: Gu, Yida, et al.
Published: (2026)

SDSL-Solver: Scalable Distributed Sparse Linear Solvers for Large-Scale Interior Point Methods
by: Yang, Shaofeng, et al.
Published: (2026)

"Two-Stagification": Job Dispatching in Large-Scale Clusters via a Two-Stage Architecture
by: Yildiz, Mert, et al.
Published: (2025)

Pipelined Dense Symmetric Eigenvalue Decomposition on Multi-GPU Architectures
by: Wang, Hansheng, et al.
Published: (2025)

CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems
by: Rashid, Md Hasanur, et al.
Published: (2026)

Rafture: Erasure-coded Raft with Post-Dissemination Pruning
by: Kerur, Rithwik, et al.
Published: (2026)

Performance of Distributed File Systems on Cloud Computing Environment: An Evaluation for Small-File Problem
by: Duong, Thanh, et al.
Published: (2023)

Accelerating OpenPangu Inference on NPU via Speculative Decoding
by: Dai, Yuntao, et al.
Published: (2026)

Improving SpGEMM Performance Through Matrix Reordering and Cluster-wise Computation
by: Islam, Abdullah Al Raqibul, et al.
Published: (2025)

A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
by: Wang, Daoce, et al.
Published: (2024)

DIAL: Decentralized I/O AutoTuning via Learned Client-side Local Metrics for Parallel File System
by: Rashid, Md Hasanur, et al.
Published: (2026)

Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
by: Zhang, WenZheng, et al.
Published: (2024)

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data
by: Jia, Wenqi, et al.
Published: (2024)

Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale
by: Guo, Zhuoqiang, et al.
Published: (2025)

Eva: Cost-Efficient Cloud-Based Cluster Scheduling
by: Chang, Tzu-Tao, et al.
Published: (2025)

Constrained Over-the-Air Model Updating for Wireless Online Federated Learning with Delayed Information
by: Wang, Juncheng, et al.
Published: (2025)

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials
by: Wang, Hongyu, et al.
Published: (2026)

CoCoI: Distributed Coded Inference System for Straggler Mitigation
by: Liu, Xing, et al.
Published: (2025)

CkIO: Parallel File Input for Over-Decomposed Task-Based Systems
by: Jacob, Mathew, et al.
Published: (2024)

Redox: Improving I/O Efficiency of Model Training Through File Redirection
by: Li, Yuhao, et al.
Published: (2025)

It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation
by: Wu, Jing, et al.
Published: (2025)

A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference
by: Zhang, Yida, et al.
Published: (2026)

DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines
by: Tian, Ye, et al.
Published: (2024)

DOLMA: A Data Object Level Memory Disaggregation Framework for HPC Applications
by: Zheng, Haoyu, et al.
Published: (2025)

Formal Specification for Fast ACS: Low-Latency File-Based Ordered Message Delivery at Scale
by: Gupta, Sushant Kumar, et al.
Published: (2025)

A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States
by: Sun, Daran, et al.
Published: (2026)

FalconFS: Distributed File System for Large-Scale Deep Learning Pipeline
by: Xu, Jingwei, et al.
Published: (2025)

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles
by: Zhang, Longtao, et al.
Published: (2024)

A Taxonomy of Schedulers -- Operating Systems, Clusters and Big Data Frameworks
by: Sliwko, Leszek
Published: (2025)

DiT-HC: Enabling Efficient Training of Visual Generation Model DiT on HPC-oriented CPU Cluster
by: Zhang, Jinxiao, et al.
Published: (2026)

VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster
by: Gu, Jianfeng, et al.
Published: (2025)

SWIFT: Expedited Failure Recovery for Large-scale DNN Training
by: Zhong, Yuchen, et al.
Published: (2023)