Towards a Learning-Based Performance Modeling for Accelerating Deep Neural Networks-Reference-Cited by-同舟云学术

Towards a Learning-Based Performance Modeling for Accelerating Deep Neural Networks

Published:2019 Issue: Volume: Page:665-676
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2019
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Author:

Perri Damiano^ORCID,Sylos Labini Paolo,Gervasi Osvaldo^ORCID,Tasso Sergio^ORCID,Vella Flavio^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-24289-3_49

Reference22 articles.

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3. Cianfriglia, M., Vella, F., Nugteren, C., Lokhmotov, A., Fursin, G.: A model-driven approach for a new generation of adaptive libraries. arXiv preprint arXiv:1806.07060 (2018)

4. Cosenza, B., Durillo, J.J., Ermon, S., Juurlink, B.: Autotuning stencil computations with structural ordinal regression learning. In: 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 287–296. IEEE (2017)

5. Di Girolamo, S., Vella, F., Hoefler, T.: Transparent caching for RMA systems. In: 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 1018–1027. IEEE (2017)

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