Quantum researchers have deployed a new algorithm to manage noise in qubits in real time. The method can be applied to a wide ...

FPGA vendors and independent tools vendors provide FPGA development tools that help bridge this gap between an intuitive algorithm description and an optimized implementation. Most of these tools rely ...

Editor's Note: There are a lot of folks who are interested in accelerating their algorithms/programs written in C or C++. Many of these guys and gals are aware that FPGA-based accelerators are ...

With the continuous advancement of quantum computing technology, the application prospects of quantum algorithms are becoming increasingly broad, especially the Grover algorithm, which demonstrates ...

Sorting. It’s a classic problem that’s been studied for decades, and it’s a great first step towards “thinking algorithmically.” Over the years, a handful of sorting algorithms have ...

Perhaps the most interesting this is that Intel is very keep on using FPGAs to accelerate machine learning workloads, particularly for inferencing, and it will be putting out its own preconfigured ...

The Bendix G-15 refurbished by [David at Usagi Electric] is well known as the oldest fully operational digital computer in ...

SDRs with FPGA capabilities allow for easier implementation of advanced signal-processing algorithms, as well as provide firmware that can be updated and reconfigured as per the requirements of ...

To dramatically simplify the path from image and signal processing algorithms to FPGA implementation, designers should choose an abstract language-based synthesis technology to use the executable ...

In this paper, the authors present Scale Invariant Feature Transform (SIFT) implementation using system generator used for object recognition. The ...