[Editor's note: For an intro to floating-point math, see Tutorial: Floating-point arithmetic on FPGAs. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a ...
Infinite impulse response (IIR) filter implementations can have different forms (direct, standard, ladder, …), different math (fixed-point or floating-point), and different quantization (number of ...
The MathWorks has introduced Fixed-Point Toolbox 2, which the company said provides enhanced floating-to-fixed-point conversion capabilities and accelerated fixed-point MATLAB algorithms able to ...
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 ...
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 ...
Wong: EEMBC has been around for more than 16 years, why the recent need for floating-point benchmarks? Levy: While floating-point units in processors have been in use for decades, in recent times ...
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