Demonstration of Applications in Computer Vision and NLP on Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt

Abstract

Computer Vision and Natural Language Processing (NLP) applications are becoming available at edge devices and mobile platforms with the mass production of low-power and high-performance AI chips. SPR2801s is the CNN Domain Specific Accelerator (CNN-DSA) with inference speed of more than 140fps for input image size of 224x224x3 and only 300mW power consumption. The convolution computations are all completed on SPR2801s chip which works as a co-processor. In this demo, we will show demos running on SPR2801s for computer vision and NLP applications, including image classification, text classification, sentiment analysis, and Compact Descriptor for Video Analysis (CDVA). The applications are demonstrated on a single chip and also demonstrated on a multi-chip board. The single chip is shown as a dongle with USB connecting to a host processor. And the eight-chip board shows the power of parallel processing with PCIe or M.2 interface.