US11562115B2 - Configurable accelerator framework including a stream switch having a plurality
of unidirectional stream links - Google Patents US11562115B2 - Configurable accelerator …

Embodiments described herein provide a system to config ure distributed training of a neural
network, the system comprising memory to store a library to facilitate data transmission …

Digital integrated circuit (IC) for extracting features out of input image is disclosed. The IC
contains one or more identical cellular neural networks (CNN) processing engines …

Disclosed herein is a processor for deep learning. In one embodiment, the processor
comprises: a load and store unit configured to load and store image pixel data and stencil …

CNN based integrated circuit is configured with a set of pre-trained filter coefficients or
weights as a feature extractor of an input data. Multiple fully-connected networks (FCNs) are …

In an example, an apparatus comprises logic, at least partially including hardware logic, to
implement a lossy compression algorithm which utilizes a data transform and quantization …

Method and systems of replacing operations of depthwise separable filters with first and
second replacement convolutional layers are disclosed. Depthwise separable filters …

Data arrangement schemes of imagery data and filter coefficients stored in a CNN based
digital IC for extracting features out of an input image are disclosed. The CNN based digital …

Operations of a combination of first and second original convolutional layers followed by a
short path are replaced by operations of a set of three particular convolutional layers. The …

Compared with the CPUs and GPUs, the AI accelerators are able to achieve higher
performance and energy efficiency for accelerating the DNNs. However, besides the DNNs …