News

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 ...
BBN Times

FPGA vs. GPU for Deep Learning: Which Hardware Accelerates AI Better?

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...
insideHPC

Video: FPGAs and Machine Learning

In this video from ATPESC 2019, James Moawad and Greg Nash from Intel present: FPGAs and Machine Learning. Neural networks are inspired by biological systems, in particular the human brain. Through ...
EDN

Toolset moves software code to FPGA hardware to quicken embedded system design

Kirkland, Wa.— Designers working with Xilinx Inc.'s Virtex-4 field-programmable gate arrays (FPGA) can create hardware-accelerated applications that can dramatically outperform applications running on ...
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.