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 ...
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 ...
Electronic Design

Flow Implements C++ DSP Algorithms in FPGAs

Using a design flow put together by Mentor Graphics and Altera, designers can implement complex DSP algorithms in high-performance FPGAs directly from ANSI C++ code. The flow, which is based on Altera ...
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 ...
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.
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 ...
Morningstar

MicroCloud Hologram Inc. Improves Grover Algorithm to Achieve Dynamic Multi-Mode Search, Breakthrough in Quantum Circuit Simplification and FPGA Reconstruction

SHENZHEN, China, Oct. 23, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an improved quantum Grover algorithm for a ...
The Next Platform

Research Codes a Next Frontier for FPGA Systems

FPGAs might be the next big thing for a growing host of workloads in high performance and enterprise computing, but for smaller companies, not to mention research institutions, the process of ...
Nature

Hardware Architecture for Cryptographic Algorithms on FPGA

Field-Programmable Gate Arrays (FPGAs) have become a popular platform for implementing cryptographic algorithms due to their flexibility and efficiency. Recent research has focused on enhancing the ...
EDN

Floating- to fixed-point MATLAB algorithm conversion for FPGAs

In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...