Author:
Klaus Julien,Blacher Mark,Giesen Joachim
Publisher
Springer Nature Switzerland
Reference18 articles.
1. Abadi, M., et al.: TensorFlow: Large-scale machine learning on heterogeneous systems (2015)
2. Barthels, H., Psarras, C., Bientinesi, P.: Linnea: automatic generation of efficient linear algebra programs. ACM Trans. Math. Softw. 47, 1–26 (2021)
3. Baumgartner, G., Auer, A.A., Bernholdt, D.E., Bibireata, A., Choppella, V., et al.: Synthesis of high-performance parallel programs for a class of ab initio quantum chemistry models. Proc. IEEE 93, 276–292 (2005)
4. Bilmes, J.A., Asanovic, K., Chin, C., Demmel, J.: Author retrospective for optimizing matrix multiply using PHiPAC: a portable high-performance ANSI C coding methodology. In: ACM International Conference on Supercomputing (2014)
5. Buitinck, L., Louppe, G., Blondel, M., Pedregosa, F., Mueller, A., Grisel, O., et al.: API design for machine learning software: experiences from the scikit-learn project. In: ECML PKDD Workshop: Languages for Data Mining and Machine Learning (2013)