In business software, the computer chip has been forgotten. It’s a commodity lying way down deep, underneath the business applications. Robotics has been more tightly tied to individual hardware ...

Altera Agilex 2X FPGAs, unveiled at Innovators Day on October 28, introduce HyperFlow -- a dedicated on-chip data network ...

The evolution of the GPU has gone from a "device for rendering images at high speed" to "a device for parallel processing of ...

Applications and infrastructure evolve in lock-step. That point has been amply made, and since this is the AI regeneration era, infrastructure is both enabling AI applications to make sense of the ...

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 ...

In the last couple of years, we have written and heard about the usefulness of GPUs for deep learning training as well as, to a lesser extent, custom ASICs and FPGAs. All of these options have shown ...

There is no more room to route wires. We cannot add any more circuits. Will they be relegated to power-saving devices? FPGAs have reached their structural limit, haven't they? How far will GPUs ...

Continued exponential growth of digital data of images, videos, and speech from sources such as social media and the internet-of-things is driving the need for analytics to make that data ...

A technical paper titled “eGPU: A 750 MHz Class Soft GPGPU for FPGA” was published by researchers at Intel Corporation and Imperial College London. “This paper introduces the eGPU, a SIMT soft ...