Imagen de Portada

Parallel Seismic Data Processing Performance with Cloud-based Storage

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mohapatra, Sasmita, Yang, Weiming, Yang, Zhengtang, Wang, Chenxiao, Ma, Jinxin, Pavlis, Gary L., Wang, Yinzhi
Formato:	Preprint
Publicado:	2025
Materias:	Geophysics Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Real-time Bayesian inference at extreme scale: A digital twin for tsunami early warning applied to the Cascadia subduction zone
por: Henneking, Stefan, et al.
Publicado: (2025)

Automatic BLAS Offloading on Unified Memory Architecture: A Study on NVIDIA Grace-Hopper
por: Li, Junjie, et al.
Publicado: (2024)

A Pilot Study on Tunable Precision Emulation via Automatic BLAS Offloading
por: Liu, Hang, et al.
Publicado: (2025)

Optimizing the Longhorn Cloud-native Software Defined Storage Engine for High Performance
por: Kampadais, Konstantinos, et al.
Publicado: (2025)

Multiscale Roughness of Upper Mantle Discontinuities Inferred from the USArray: Dependence on Tomography Models
por: Wang, Yinzhi, et al.
Publicado: (2025)

Evaluating PhaseNet on Teleseismic Data with MsPASS
por: Ma, Jinxin, et al.
Publicado: (2026)

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

NanoCP: Request-Level Dynamic Context Parallelism for Data-Expert Parallel Decoding
por: Chen, Jiefei, et al.
Publicado: (2026)

Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems
por: Han, Yuxing, et al.
Publicado: (2025)

WANify: Gauging and Balancing Runtime WAN Bandwidth for Geo-distributed Data Analytics
por: Mohapatra, Anshuman Das, et al.
Publicado: (2025)

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
por: Batsoyol, Narangerelt, et al.
Publicado: (2025)

FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud
por: Lin, Yuhao, et al.
Publicado: (2026)

Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training
por: Chen, Chang, et al.
Publicado: (2025)

Hyperion: Hierarchical Scheduling for Parallel LLM Acceleration in Multi-tier Networks
por: Ma, Mulei, et al.
Publicado: (2025)

Boosting Blockchain Throughput: Parallel EVM Execution with Asynchronous Storage for Reddio
por: Qi, Xiaodong, et al.
Publicado: (2025)

Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
por: Li, Haoyang, et al.
Publicado: (2024)

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation
por: Wu, Tianyuan, et al.
Publicado: (2025)

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
por: Yang, Haowei, et al.
Publicado: (2025)

LuWu: An End-to-End In-Network Out-of-Core Optimizer for 100B-Scale Model-in-Network Data-Parallel Training on Distributed GPUs
por: Sun, Mo, et al.
Publicado: (2024)

SkyStore: Cost-Optimized Object Storage Across Regions and Clouds
por: Liu, Shu, et al.
Publicado: (2025)

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
por: Will, Jonathan, et al.
Publicado: (2025)

PUSHtap: PIM-based In-Memory HTAP with Unified Data Storage Format
por: Zhao, Yilong, et al.
Publicado: (2025)

ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems
por: Xu, Yiheng, et al.
Publicado: (2023)

SwitchDelta: Asynchronous Metadata Updating for Distributed Storage with In-Network Data Visibility
por: Li, Junru, et al.
Publicado: (2025)

Parallel Data Object Creation: Towards Scalable Metadata Management in High-Performance I/O Library
por: Li, Youjia, et al.
Publicado: (2025)

ZipLLM: Efficient LLM Storage via Model-Aware Synergistic Data Deduplication and Compression
por: Wang, Zirui, et al.
Publicado: (2025)

Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead
por: Wang, Zhe, et al.
Publicado: (2024)

A Flexible Programmable Pipeline Parallelism Framework for Efficient DNN Training
por: Jiang, Lijuan, et al.
Publicado: (2025)

A Self-Healing and Fault-Tolerant Cloud-based Digital Twin Processing Management Model
por: Saxena, Deepika, et al.
Publicado: (2025)

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
por: Bhawiyuga, Adhitya, et al.
Publicado: (2025)

A Systematic Literature Review on Task Allocation and Performance Management Techniques in Cloud Data Center
por: Chauhan, Nidhika, et al.
Publicado: (2024)

Performance-Driven Optimization of Parallel Breadth-First Search
por: Bhaskar, Marati, et al.
Publicado: (2025)

PolarStore: High-Performance Data Compression for Large-Scale Cloud-Native Databases
por: Hu, Qingda, et al.
Publicado: (2025)

BFLN: A Blockchain-based Federated Learning Model for Non-IID Data
por: Li, Yang, et al.
Publicado: (2024)

DWDP: Distributed Weight Data Parallelism for High-Performance LLM Inference on NVL72
por: Li, Wanqian, et al.
Publicado: (2026)

StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
por: Liu, Ziming, et al.
Publicado: (2024)

A Precision Emulation Approach to the GPU Acceleration of Ab Initio Electronic Structure Calculations
por: Liu, Hang, et al.
Publicado: (2026)

Parallel R-tree-based Spatial Query Processing on a Commercial Processing-in-Memory System
por: Jannat, Tasmia, et al.
Publicado: (2026)

Parallel Writing of Nested Data in Columnar Formats
por: Hahnfeld, Jonas, et al.
Publicado: (2024)

Performance Models for a Two-tiered Storage System
por: Sasidharan, Aparna, et al.
Publicado: (2025)