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Deploying deep learning models on mobile devices draws more and more attention recently.
Gaussian elimination is not optimal
Strassen, V · 1969
Earlier work this paper cites.
Arithmetic complexity of computations , volume 33
Winograd, S · 1980
Earlier work this paper cites.
Optimizing compilers for modern architectures: a dependence-based approach
Kennedy, K. and Allen, J. R · 2001
Earlier work this paper cites.
Fast algorithms for signal processing
Blahut, R. E · 2010
Earlier work this paper cites.
Theano: new features and speed improvements
Bastien, F., Lamblin, P., Pascanu, R., Bergstra, J., Goodfellow, I., Bergeron, A., Bouchard, N., Warde-Farley, D., and Bengio, Y · 2012
Earlier work this paper cites.
Caffe: Convolutional architecture for fast feature embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., and Darrell, T · 2014
Earlier work this paper cites.
On optimizing machine learning workloads via kernel fusion
Ashari, A., Tatikonda, S., Boehm, M., Reinwald, B., Campbell, K., Keenleyside, J., and Sadayappan, P · 2015
Earlier work this paper cites.
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
Chen, T., Li, M., Li, Y., Lin, M., Wang, N., Wang, M., Xiao, T., Xu, B., Zhang, C., and Zhang, Z · 2015
Earlier work this paper cites.
Deep learning
LeCun, Y., Bengio, Y., and Hinton, G · 2015
Earlier work this paper cites.
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A · 2015
Earlier work this paper cites.
TensorFlow: A system for large-scale machine learning
Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., et al · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
Cited alongside, same era.
SqueezeNet: Alexnet-level accuracy with 50x fewer parameters and < < 0.5MB model size
Iandola, F., Moskewicz, M., and Ashraf, K · 2016
Cited alongside, same era.
Fast algorithms for convolutional neural networks
Lavin, A. and Gray, S · 2016
Cited alongside, same era.
Xnor-net: Imagenet classification using binary convolutional neural networks
Rastegari, M., Ordonez, V., Redmon, J., and Farhadi, A · 2016
Cited alongside, same era.
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., and Xu, L · 2016
Cited alongside, same era.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
TensorFlow Winograd
Google · 2019
Later among the works it cites.
Neural Networks API
Google · 2019
Later among the works it cites.
TensorFlow Lite
Google · 2019
Later among the works it cites.
XLA: Accelerated linear algebra
Google · 2019
Later among the works it cites.
Buying or browsing?: Predicting real-time purchasing intent using attention-based deep network with multiple behavior
Guo, L., Hua, L., Jia, R., Zhao, B., Wang, X., and Cui, B · 2019
Later among the works it cites.
OpenGL: Open Graphics Library
Khronos, G · 2019
Later among the works it cites.
OpenCL: Open Computing Language
Khronos, G · 2019
Later among the works it cites.
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Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., and Adam, H · 2017
Cited alongside, same era.
Automatic differentiation in pytorch
Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., and Lerer, A · 2017
Cited alongside, same era.
DLVM: A modern compiler infrastructure for deep learning systems
Wei, R., Schwartz, L., and Adve, V · 2017
Cited alongside, same era.
Efficient deep learning inference on edge devices
Jiang, Z., Chen, T., and Li, M · 2018
Cited alongside, same era.
Metal: Accelerating graphics and much more
Apple · 2019
Cited alongside, same era.
TVM: Tensor virtual machine, open deep learning compiler stack
DMLC · 2019
Cited alongside, same era.
Reddi, V. J., Cheng, C., Kanter, D., Mattson, P., Schmuelling, G., Wu, C.-J., Anderson, B., Breughe, M., Charlebois, M., Chou, W., et al · 2019
Later among the works it cites.
MACE Winograd
Xiaomi · 2019
Later among the works it cites.
MACE: Mobile ai compute engine
Xiaomi · 2019
Later among the works it cites.
An introduction to computational networks and the computational network toolkit
Yu, D., Eversole, A., Seltzer, M., Yao, K., Huang, Z., Guenter, B., Kuchaiev, O., Zhang, Y., Seide, F., Wang, H., et al · 2019
Later among the works it cites.