Because so many microcontrollers now include a floating-point unit (FPU) that performs math operations, engineers can tackle a wider range of applications that rely on precise values for control ...

[Editor's note: For an intro to fixed-point math, see Fixed-Point DSP and Algorithm Implementation. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a surprisingly ...

Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms used in neural networks today are often ...

When you think about it, it's surprising how many programming tasks don't require the use of floating point numbers. If you're an embedded systems programmer, you'd ...

The first three numbers are the load average over the last 1, 5, and 15 minutes. Load average being a measure of how busy the system is, the higher the load average the busier the system is.

Floating point units (fpu) can increase the range and precision of mathematical calculations or enable greater throughput in less time, making it easier to meet real time requirements. Or, by enabling ...

Xilinx has announced the availability of ISE Design Suite 13.3 featuring new capabilities for DSP designers to implement bit-accurate single, double and full custom precision floating-point math ...

Floating-point processing is widely used in computing for many different applications. In most software languages, floating-point variables are denoted as “float†or double.†Integer variables are ...

Recently Colin Walls had an article on this site about floating point math. Once it was common for embedded engineers to scoff at floats; many have told me they have no place in this space. That’s ...

Synopsys ARC VPX5 and VPX5FS DSP Processors are based on an extended instruction set and VLIW/SIMD architecture optimized for highly parallel processing Multiple vector floating-point pipelines enable ...