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cs.LG2021
A Deep Learning Inference Scheme Based on Pipelined Matrix Multiplication Acceleration Design and Non-uniform Quantization
Yuyang Zhang, Dik Hin Leung, Min Guo +6
Matrix multiplication is the bedrock in Deep Learning inference application. When it comes to hardware acceleration on edge computing devices, matrix multiplication often takes up…
cs.LG2018★ 42 cited
High Performance Zero-Memory Overhead Direct Convolutions
Jiyuan Zhang, Franz Franchetti, Tze Meng Low
The computation of convolution layers in deep neural networks typically rely on high performance routines that trade space for time by using additional memory (either for packing p…