BitBlade

Author:

Ryu Sungju1,Kim Hyungjun1,Yi Wooseok1,Kim Jae-Joon1

Affiliation:

1. Pohang University of Science and Technology, Pohang, Korea

Publisher

ACM

Reference15 articles.

1. Song Han et al. 2015. Deep compression: Compressing deep neural networks with pruning trained quantization and huffman coding. arXiv preprint arXiv:1510.00149 (2015). Song Han et al. 2015. Deep compression: Compressing deep neural networks with pruning trained quantization and huffman coding. arXiv preprint arXiv:1510.00149 (2015).

2. Song Han et al. 2015. Learning both weights and connections for efficient neural network. In Advances in neural information processing systems. 1135--1143. Song Han et al. 2015. Learning both weights and connections for efficient neural network. In Advances in neural information processing systems. 1135--1143.

3. EIE: Efficient Inference Engine on Compressed Deep Neural Network

4. ESE

5. Quantized neural networks: Training neural networks with low precision weights and activations;Itay Hubara;The Journal of Machine Learning Research,2017

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1. BitNN: A Bit-Serial Accelerator for K-Nearest Neighbor Search in Point Clouds;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

2. Orchestrating Multiple Mixed Precision Models on a Shared Precision-Scalable NPU;Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems;2024-06-20

3. Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training;Sensors;2024-03-27

4. LUTein: Dense-Sparse Bit-Slice Architecture With Radix-4 LUT-Based Slice-Tensor Processing Units;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

5. Dynamic Precision-Scalable Thermal Mapping Algorithm for Three Dimensional Systolic-Array Based Neural Network Accelerator;IEEE Transactions on Consumer Electronics;2024-02

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