Semiconductor Engineering

Machine Learning Shifts More Work to FPGAs, SoCs

A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and ...
The Next Platform

FPGA Based Deep Learning Accelerators Take on ASICs

Over the last couple of years, the idea that the most efficient and high performance way to accelerate deep learning training and inference is with a custom ASIC—something designed to fit the specific ...
The Next Platform

OpenCL Opens Doors to Deep Learning Training on FPGA

Hardware and device makers are in a mad dash to create or acquire the perfect chip for performing deep learning training and inference. While we have yet to see anything that can handle both parts of ...
insideHPC

ZTE Wireless Institute Achieves Performance Breakthrough for Deep Learning with Intel FPGAs

Intel and ZTE, a leading technology telecommunications equipment and systems company, have worked together to reach a new benchmark in deep learning and convolutional neural networks (CNN). The ...
EDN

A Breakthrough in FPGA-Based Deep Learning Inference

Mipsology’s Zebra Deep Learning inference engine is designed to be fast, painless, and adaptable, outclassing CPU, GPU, and ASIC competitors. I recently attended the 2018 Xilinx Development Forum (XDF ...
Electronic Design

FPGAs for Advanced Video Processing Solutions

FPGAs provide a balance of performance and flexibility required in advanced video processing applications. This white paper describes benefits of FPGAs for video streaming, content creation and AI and ...