Illuminating the I/O Optimization Path of Scientific Applications-Reference-Cited by-同舟云学术

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Illuminating the I/O Optimization Path of Scientific Applications

Published:2023 Issue: Volume: Page:22-41
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Ather Hammad^ORCID,Bez Jean Luca^ORCID,Norris Boyana^ORCID,Byna Suren^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-32041-5_2

Reference47 articles.

1. Adhianto, L., Banerjee, S., Fagan, M., Krentel, M., Marin, G., Mellor-Crummey, J., Tallent, N.R.: HPCTOOLKIT: tools for performance analysis of optimized parallel programs. CCPE 22(6), 685–701 (2010). https://doi.org/10.1002/cpe.1553

2. Agarwal, M., Singhvi, D., Malakar, P., Byna, S.: Active learning-based automatic tuning and prediction of parallel I/O performance. In: 2019 IEEE/ACM Fourth International Parallel Data Systems Workshop (PDSW), pp. 20–29 (2019). https://doi.org/10.1109/PDSW49588.2019.00007

3. Bağbaba, A.: Improving collective I/o performance with machine learning supported auto-tuning. In: IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 814–821 (2020). https://doi.org/10.1109/IPDPSW50202.2020.00138

4. Behzad, B., Byna, S., Prabhat, Snir, M.: Optimizing I/O performance of HPC applications with autotuning. ACM Trans. Parallel Comput. 5(4) (2019). https://doi.org/10.1145/3309205

5. Bez, J.L., Ather, H., Byna, S.: Drishti: guiding end-users in the I/O optimization journey. In: 2022 IEEE/ACM International Parallel Data Systems Workshop (PDSW), pp. 1–6 (2022). https://doi.org/10.1109/PDSW56643.2022.00006

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Drilling Down I/O Bottlenecks with Cross-layer I/O Profile Exploration;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

2. Capturing Periodic I/O Using Frequency Techniques;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

3. Enabling Agile Analysis of I/O Performance Data with PyDarshan;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

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