如何在FPGA部署AI模型

如果你已经在用MATLAB做深度学习，那一定知道它的训练和仿真体验非常丝滑。但当模型要真正落地到FPGA上时，往往就会卡住：怎么把网络结构和权重优雅地搬到硬件里？ 简单来说，这个工具就是把你的神经网络“翻译”成FPGA ...
Hackaday

Learning Verilog for FPGAs

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 ...
insideHPC

Unified Deep Learning with CPU, GPU and FPGA Technologies

Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. The combination of large data sets, ...
EDN

FPGA learning made easy with a virtual university program

Altera University aims to affordably and easily introduce students to the world of FPGAs and digital logic programming tools by unveiling the curriculum, tutorials, and lab exercises that bridge the ...
Design News

Learning About FPGAs, Part 1

Field programmable gate arrays (FPGAs) are integrated circuits that provide the foundation to implement custom digital circuits. These highly customizable ICs make it possible to design complex ...
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 Maker Snaps Up Deep Learning Chip Startup

FPGA maker Xilinx has acquired Chinese deep learning chip startup DeePhi Tech for an undisclosed sum. The Next Platform has been watching DeePhi closely over the last few years as it appeared to be ...
Semiconductor Engineering

Applying Machine Learning to EDA, FPGA Design Automation Tools

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...
TechCrunch

Microsoft Brainwave aims to accelerate deep learning with FPGAs

This afternoon Microsoft announced Brainwave, an FPGA-based system for ultra-low latency deep learning in the cloud. Early benchmarking indicates that when using Intel Stratix 10 FPGAs, Brainwave can ...
insideHPC

Intel FPGAs Break Record for Deep Learning Facial Recognition

Today Intel announced record results on a new benchmark in deep learning and convolutional neural networks (CNN). Developed with ZTE, a leading technology telecommunications equipment and systems ...
Electronic Design

Embedded FPGA Optimized for Machine Learning and Communication

Achronix’s Speedcore Gen 4 can be tailored for machine-learning applications as well as to deliver high-performance FPGA connectivity for embedded FPGAs. 1. Processor performance is starting to level ...
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 ...