Native Floating-Point HDL code generation allows you to generate VHDL or Verilog for floating-point implementation in hardware without the effort of fixed-point conversion. Native Floating-Point HDL ...

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.

I currently have a list of floating point data where successive values are very similar. (The data is just a function sampled at small, regular intervals.) Rather than storing all the values directly, ...

Texas Instruments recently introduced what it calls “the first floating-point digital signal controller (DSC).” (The term DSC is relatively new in the industry; it refers to a low-cost embedded ...

Promising to speed up a wide variety of computing apps, Prism FP debuts as the first compression technology to provide lossless and near lossless compression of floating point data types. EMBEDDED ...

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...

Many numerical applications typically use floating-point types to compute values. However, in some platforms, a floating-point unit may not be available. Other platforms may have a floating-point unit ...