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

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 ...
Hackaday

Learning Verilog For FPGAs: Hardware At Last!

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 into working Verliog. The end goal is ...
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 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 ...
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 ...
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 ...
Hackaday

Learning Verilog For FPGAs: The Tools And Building An Adder

Over the last year we’ve had several posts about the Lattice Semiconductor iCEstick which is shown below. The board looks like an overgrown USB stick with no case, but it is really an FPGA development ...
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

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, ...
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 ...
Design News

Learning About FPGAs, Part 3

In the first two parts of this video tutorial series, instructor Shawn Hymel discussed what an FPGA is and how to install apio and the open-source toolchain required ...