Memory Allocation for Neural Networks using Graph Coloring

Author:

Barenboim Leonid1,Drucker Rami2,Zatulovsky Oleg1,Levi Eli2

Affiliation:

1. The Open University of Israel, Israel

2. CEVA DSP Ltd, Israel

Publisher

ACM

Reference6 articles.

1. Imagenet classification with deep convolutional neural networks;Krizhevsky A.;Advances in Neural Information Processing Systems,2012

2. J. Zhang , S. H. Yeung , Y. Shu , B. He and W. Wang , " Efficient memory management for gpu-based deep learning systems," arXiv:1903.06631 , 2019 . J. Zhang, S. H. Yeung, Y. Shu, B. He and W. Wang, "Efficient memory management for gpu-based deep learning systems," arXiv:1903.06631, 2019.

3. S. V. Pemmaraju , R. Raman , and K. Varadarajan . " Buffer minimization using max-coloring," SODA , vol. 4 , 2004 . S. V. Pemmaraju, R. Raman, and K. Varadarajan. "Buffer minimization using max-coloring," SODA, vol. 4, 2004.

4. Y. Pisarchyk and J. Lee , " Efficient Memory Management for Deep Neural Net Inference," arXiv preprint arXiv:2001.03288 , 2020 . Y. Pisarchyk and J. Lee, "Efficient Memory Management for Deep Neural Net Inference," arXiv preprint arXiv:2001.03288, 2020.

5. Compiler-directed scratchpad memory management via graph coloring

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