Today Intel announced record results on a new benchmark in deep learning and convolutional neural networks (CNN). ZTE’s engineers used Intel’s midrange Arria 10 FPGA for a cloud inferencing ...

The Tianyancha APP shows that recently, the patent for 'A Quantization Node Fusion Method Based on FPGA Structural Equivalent Convolution' applied by Chengdu Huawi Electronics Technology Co., Ltd. has ...

Machine Learning Shifts More Work to FPGAs, SoCs SoC bandwidth, integration expand as data centers use more FPGAs for machine learning.

大侠好，欢迎来到FPGA技术江湖，江湖偌大，相见即是缘分。大侠可以关注FPGA技术江湖，在“闯荡江湖”、"行侠仗义"栏里获取其他感兴趣的资源，或者一起煮酒言欢。“煮酒言欢”进入IC技术圈，这里有近50个IC技术公众号。 基于 FPGA LMS 算法的自适应滤波器设计 第一部分 设计概述 自适应滤波是近几 ...

Machine-learning (ML) based methodologies pave a strong path towards accurately estimating post-route values. In this paper, we present a comprehensive survey of the existing literature in the ML ...

Yao says “The FPGA based DPU platform achieves an order of magnitude higher energy efficiency over GPU on image recognition and speech detection.” Deephi believes a joint optimization between ...

For instance, the programmable solutions group at Intel where the Altera teams were integrated post-acquisition has just developed an FPGA overlay for deep learning inference that demonstrates some ...

Getting into FPGA design isn’t a monolithic experience. You have to figure out a toolchain, learn how to think in hardware during the design, and translate that into working Verliog. The end ...