Tuning Parallel Data Compression and I/O for Large-scale Earthquake Simulation

Author:

Tang Houjun,Byna Suren,Petersson N Anders,McCallen David

Funder

Office of Science

Lawrence Livermore National Laboratory

Publisher

IEEE

Reference31 articles.

1. SCTuner: An Auto-tuner Addressing Dynamic I/O Needs on Supercomputer I/O Sub-systems;tang;PDSW’2021,0

2. Characterizing output bottlenecks of a production supercomputer: Analysis and implications;xie;ACM Transactions on Storage,2020

3. The Adaptable I/O System,0

4. EQSIM—A multidisciplinary framework for fault-to-structure earthquake simulations on exascale computers part I: Computational models and workflow

5. EQSIM—A multidisciplinary framework for fault-to-structure earthquake simulations on exascale computers, part II: Regional simulations of building response

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1. Regional-scale fault-to-structure earthquake simulations with the EQSIM framework: Workflow maturation and computational performance on GPU-accelerated exascale platforms;Earthquake Spectra;2024-05-03

2. Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22

3. Efficient Asynchronous I/O with Request Merging;2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2023-05

4. Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

5. A Comprehensive I/O Knowledge Cycle for Modular and Automated HPC Workload Analysis;2022 IEEE International Conference on Cluster Computing (CLUSTER);2022-09

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