EDN

FROM EDN EUROPE: Motion package codes algorithms onto FPGA

International Rectifier continues its recent theme of offering packaged solutions based on its power devices with the release of the iMotion integrated design package for motor control (Picture). At ...
EDN

Generate FPGA designs from M-code

DSP systems are best described by using a combination of both graphical-and language-based methods. The MathWorks, an industry leader in DSP modeling software, caters to this dichotomy by providing a ...
Nature

Hardware Architecture for Cryptographic Algorithms on FPGA

Field Programmable Gate Arrays (FPGAs) have emerged as a versatile platform for implementing cryptographic algorithms, offering a balance between flexibility, performance and energy efficiency. Recent ...
insideHPC

FPGAs and the Road to Reprogrammable HPC

In this special guest feature from Scientific Computing World, Robert Roe writes that FPGAs provide an early insight into possibile architectural specialization options for HPC and machine learning.
Nature

High-Performance Sorting Algorithms and Architectures Using FPGA

Field-programmable gate arrays (FPGAs) offer a unique platform for the implementation of high-performance sorting algorithms by combining inherent parallelism with customisable hardware architectures.
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 ...
The Next Platform

Emerging “Universal” FPGA, GPU Platform for Deep Learning

In the last couple of years, we have written and heard about the usefulness of GPUs for deep learning training as well as, to a lesser extent, custom ASICs and FPGAs. All of these options have shown ...