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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？ 这就是MathWorks Deep Learning HDL Toolbox出场的地方。 简单来说，这个工具就是把你的神经网络 ...
Semiconductor Engineering

Deep Learning Hardware: FPGA vs. GPU

FPGAs or GPUs, that is the question. Since the popularity of using machine learning algorithms to extract and process the information from raw data, it has been a race between FPGA and GPU vendors to ...
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 ...
ZDNet

AI chips for big data and machine learning: Hard choices in the cloud and on-premise

Applications and infrastructure evolve in lock-step. That point has been amply made, and since this is the AI regeneration era, infrastructure is both enabling AI applications to make sense of the ...
The Next Platform

Intel FPGA Architecture Focuses on Deep Learning Inference

There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice, the hurdles of getting from concept to high performance hardware ...
insideHPC

New Achronix Bittware FPGA Accelerator Speeds Cloud, AI, and Machine Learning

Achronix and Bittware are collaborating on a new FPGA accelerator designed for cloud, AI, and machine learning applications. Increased demand for artificial intelligence (AI) and machine learning (ML) ...
Electronic Design

FPGA Highways Speed Machine Learning and Communication

Today’s high-speed FPGAs have a passing similarity to their older counterparts. However, large arrays of identical lookup tables (LUTs) and interconnect fabrics have given way to high-speed, ...
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 ...
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 ...
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 ...
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 ...
Hackaday

An RF Engineer’s FPGA Learning Journey

[KF5N] admits he’s not a digital design engineer; he’s more into the analog RF side of things. But he’s recently taken on a project to communicate between a Ubuntu box and an Intel MAX10 FPGA. He did ...