EDN

Converting floating-point applications to fixed-point

Digital signal processors (DSPs) represent one of the fastest growing segments of the embedded world. Yet despite their ubiquity, DSPs present difficult challenges for programmers. In particular, ...
Electronic Design

Dealing with the Absence of an FPU Using Fixed Point in Ada

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 ...
Electronic Design

What’s the Difference Between Fixed-Point, Floating-Point, and Numerical Formats?

Embedded C and C++ programmers are familiar with signed and unsigned integers and floating-point values of various sizes, but a number of numerical formats can be used in embedded applications. Here ...
TechRepublic

Design of FPGA Based 32-Bit Floating Point Arithmetic Unit and Verification of Its VHDL Code Using MATLAB

Most of the algorithms implemented in FPGAs used to be fixed-point. Floating-point operations are useful for computations involving large dynamic range, but they require significantly more resources ...
Semiconductor Engineering

AI Chips Must Get The Floating-Point Math Right

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 ...
EDN

Targeting Floating-Point Algorithms for FPGA or ASIC Deployment

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 ...
Nature

Floating-Point Arithmetic and Algorithms

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 ...