Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...

Abstract: Deep learning (DL) accelerators are optimized for standard convolution. However, lightweight convolutional neural networks (CNNs) use depthwise convolution (DwC) in key layers, and the ...

When implementing a quantized GEMM/convolution with INT8 activations and weights, it's common to also have the bias as INT32. The usual trick for adding a bias seems to be initializing the C matrix to ...

User has a question about an accuracy gap in pytorch convolution between CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM and CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM.

The rapid growth of large language models (LLMs) and their increasing computational requirements have prompted a pressing need for optimized solutions to manage memory usage and inference speed. As ...