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 ...
The Next Platform

OpenCL Opens Doors to Deep Learning Training on FPGA

Hardware and device makers are in a mad dash to create or acquire the perfect chip for performing deep learning training and inference. While we have yet to see anything that can handle both parts of ...
insideHPC

Unified Deep Learning with CPU, GPU and FPGA Technologies

Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. The combination of large data sets, ...
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 ...
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 ...
Nasdaq

Accelerate Smart Embedded Vision Designs with Microchip's Expanding Low-Power FPGA Video and Image Processing Solutions

CHANDLER, Ariz., July 15, 2019 /PRNewswire/ -- As compute-intensive, vision-based systems are increasingly integrated at the network edge, Field Programmable Gate Arrays (FPGAs) are quickly becoming a ...
TV Technology

Intel Announces Omnitek Acquisition

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. SANTA CLARA, Calif.—Intel has acquired U.K.-based Omnitek, a provider of video and vision FPGA IP ...