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 ...

If this is truly the age of heterogeneous supercomputers, then the system installed earlier this month at the University of Tsukuba is its poster child. The new NEC-built machine, which is now up and ...

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 ...

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 ...

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 ...

Nvidia has officially ushered in the "quantum GPU computing era" by unveiling NVQLink, claimed to be the world's first architecture connecting quantum systems with classical CPU and GPU-based systems.

As the cost of mask is increasing and the performance gap between FPGA and ASIC is reducing the FPGA is evolving a strong platform for not-only prototyping but also as a platform for real time design.

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 ...

When used for cracking passwords, a modern high-end graphics card will absolutely chew through “classic” hashing algorithms like SHA-1 and SHA-2. When a single desktop machine can run through 50+ ...