Based on recent technological developments, high-performance floating-point signal processing can, for the very first time, be easily achieved using FPGAs. To date, virtually all FPGA-based signal ...

There is a natural preference to use floating-point implementations in custom embedded applications because they offer a much higher dynamic range and as a byproduct bypass the design hassle of ...

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 ...

Hardware floating point can be attractive in many embedded applications where integer or fixed point algorithms produce either overflow/underflow or unacceptably long word lengths. In such cases ...

The term floating point is derived from the fact that there is no fixed number of digits before and after the decimal point; namely, the decimal point can float. There are also representations in ...

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 ...

Markus Levy, founder and president of EEMBC, addresses the new EEMBC floating point benchmark. Wong: EEMBC has been around for more than 16 years, why the recent need for floating-point benchmarks?

Why floating point is important for developing machine-learning models. What floating-point formats are used with machine learning? Over the last two decades, compute-intensive artificial-intelligence ...