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 ...
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 ...
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 ...
insideHPC

FPGAs Speed Machine Learning at SC16 Intel Discovery Zone

In this video from SC16, Intel demonstrates how Altera FPGAs can accelerate Machine Learning applications with greater power efficiency. The demo was put together using OpenCL design tools and then ...
The Next Platform

FPGAs Open Gates in Machine Learning

Field Programmable Gate Arrays (FPGAs) have notched some noticeable wins as a platform for machine learning, Microsoft’s embrace of the technology in Azure being the most notable example. But for this ...
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 ...
Forbes

Management AI: GPU and FPGA, Why They Are Important for Artificial Intelligence

In business software, the computer chip has been forgotten. It’s a commodity lying way down deep, underneath the business applications. Robotics has been more tightly tied to individual hardware ...
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, ...
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 ...
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 ...
FinanceFeeds

How FPGA Mining Differs from GPU Mining

Discover how FPGA mining differs from GPU mining in efficiency, cost, and performance, essential insights for new and ...
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, ...