Advanced Micro Devices Corporation

Ati Technologies Ulc

Morega Systems Inc.

King Chiu Tam

Benjamin Koon Pan Chan

Tung Chuen Kwong

Vickie Youmin Wu

David Porpino Sobreira Marques

Shilpa Rajagopalan

Methods and devices are provided for processing image data on a sub-frame portion basis using layers of a convolutional neural network. The processing device comprises memory and a processor. The processor is configured to receive frames of image data comprising sub-frame portions, schedule a first sub-frame portion of a first frame to be processed by a first layer of the convolutional neural network when the first sub-frame portion is available for processing, process the first sub-frame portion by the first layer and continue the processing of the first sub-frame portion by the first layer when it is determined that there is sufficient image data available for the first layer to continue processing of the first sub-frame portion. Processing on a sub-frame portion basis continues for subsequent layers such that processing by a layer can begin as soon as sufficient data is available for the layer.

Real-time low latency computer vision/machine learning compute accelerator with smart convolutional neural network scheduler

Growing community of inventors

Markham, Canada

King Chiu Tam