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 ...
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

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 ...
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 ...
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 ...
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 ...
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

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, ...
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 ...
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, ...
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 ...