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 ...
Floating-point arithmetic is a cornerstone of numerical computation, enabling the approximate representation of real numbers in a format that balances range and precision. Its widespread applicability ...
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 ...
Why is my floating point math so inaccurate? If you lurk on embedded C forums for much time at all you will run into a question like this: “Why is my floating point math so inaccurate? I do a few ...
If there’s one thing that a lot of small microcontrollers hate (and that includes the AVR-based Arduini), it’s floating-point numbers. And if there’s another thing they hate it’s division. For ...
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.
El Dorado Hills, Calif. — August 6, 2013 — The Embedded Microprocessor Benchmark Consortium (EEMBC) today announced FPMark™, a new benchmark suite that tracks the performance of embedded ...
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 ...
Targeting complex, safety-critical applications, Texas Instruments has introduced the TMS570F, one of the first ARM Cortex-R4F processor-based floating point, lock step, dual-core automotive MCUs.
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