Hackaday

Learning Verilog For FPGAs: Hardware At Last!

Getting into FPGA design isn’t a monolithic experience. You have to figure out a toolchain, learn how to think in hardware during the design, and translate that into working Verliog. The end goal is ...
Datacenter Dynamics

Microsoft previews FPGA-based machine learning service for Azure

Microsoft is set to capitalize on its work on integrating field programmable gate arrays (FPGAs) into servers for machine learning workloads, by launching a specialized Azure cloud service. Project ...
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 ...
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 ...
Digit

Machine Learning on Intel FPGAs

Artificial intelligence (AI) originated in classical philosophy and has been loitering in computing circles for decades. Twenty years ago, AI surged in popularity, but interest waned as technology ...
The Next Platform

Microsoft Extends FPGA Reach From Bing To Deep Learning

After three years of research into how it might accelerate its Bing search engine using field programmable gate arrays (FPGAs), Microsoft came up with a scheme that would let it lash Stratix V devices ...
Semiconductor Engineering

Machine Learning Shifts More Work to FPGAs, SoCs

A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and ...
Hackaday

Learning Verilog for FPGAs

Getting into FPGA design isn’t a monolithic experience. You have to figure out a toolchain, learn how to think in hardware during the design, and translate that into working Verliog. The end goal is ...
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 ...
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, ...