International Rectifier continues its recent theme of offering packaged solutions based on its power devices with the release of the iMotion integrated design package for motor control (Picture). At ...

DSP systems are best described by using a combination of both graphical-and language-based methods. The MathWorks, an industry leader in DSP modeling software, caters to this dichotomy by providing a ...

Using a design flow put together by Mentor Graphics and Altera, designers can implement complex DSP algorithms in high-performance FPGAs directly from ANSI C++ code. The flow, which is based on Altera ...

Jul. 18, 2018 – Machine learning-based applications have become prevalent across consumer, medical, and automotive markets. Still, the underlying architecture(s) and implementations are evolving ...

In this special guest feature from Scientific Computing World, Robert Roe writes that FPGAs provide an early insight into possibile architectural specialization options for HPC and machine learning.

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 ...

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 ...

Field-Programmable Gate Arrays (FPGAs) have become a popular platform for implementing cryptographic algorithms due to their flexibility and efficiency. Recent research has focused on enhancing the ...