Design-Reuse

Altera FPGAs Achieve Compelling Performance-per-Watt in Cloud Data Center Acceleration Using CNN Algorithms

San Jose, Calif., —February 23, 2015—Altera Corporation (NASDAQ: ALTR) today announced Microsoft (NASDAQ: MSFT) is using Altera Arria® 10 FPGAs (field programmable gate arrays), to achieve compelling ...
Semiconductor Engineering

CNN Hardware Architecture With Weights Generator Module That Alleviates Impact Of The Memory Wall

A technical paper titled “Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation” was published by researchers at Samsung AI Center and University of Cambridge. “The ...
Design-Reuse

Omnitek achieves world-leading CNN performance per watt in a midrange programmable device.

Omnitek achieves world-leading CNN performance per watt in a midrange programmable device. BASINGSTOKE, UK. April 16 th, 2019 – Omnitek today announced immediate availability of a new Convolutional ...
insideHPC

New Paper: Survey of FPGAs for Convolutional Neural Networks

Sparsh Mittal has just published a new paper on the use of FPGAs for Convolutional Neural Networks. Deep convolutional neural networks (CNNs) have recently shown very high accuracy in a wide range of ...
Electronics Weekly

FPGA-based neural network accelerator outperforms GPUs

Xilinx Developer Forum: Claimed to be the highest performance convolutional neural network (CNN) on an fpga, Omnitek’s CNN is available now. The deep learning processing unit (DPU) is future-proofed, ...
The Next Platform

FPGA Inroads to Convolutional Neural Networks

At The Next FPGA Platform event in January there were several conversations about what roles reconfigurable hardware will play in the future of deep learning. While inference was definitely the target ...