On Next-Generation Sequencing Compression via Multi-GPU-Reference-Cited by-同舟云学术

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On Next-Generation Sequencing Compression via Multi-GPU

Published:2022 Issue: Volume: Page:457-466
ISSN:1860-949X
Container-title:Intelligent Distributed Computing XIV
language:
Short-container-title:

Author:

De Luca Pasquale,Di Mauro Annabella,Fiscale Stefano

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-96627-0_42

Reference25 articles.

1. Deorowicz, S., Danek, A.: VCF Shark: how to squeeze a VCF file. bioRxiv (2020)

2. De Luca, P., Formisano, A.: Haptic data accelerated prediction via multicore implementation. In: Science and Information Conference, pp. 110–121. Springer, Cham (2020)

3. Marcellino, L. et al.: Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources. In: International Conference on Parallel Processing and Applied Mathematics. Springer, Cham (2017)

4. De Luca, P., et al.: Accelerated Gaussian convolution in a data assimilation scenario. In: International Conference on Computational Science. Springer, Cham (2020)

5. De Luca, P., et al.: Recursive filter based GPU algorithms in a Data Assimilation scenario. J. Comput. Sci. 53, 101339 (2021)

Cited by 1 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. Performance evaluation of a many/multi-core implementation for signal filtering problem;2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2022-10

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