[Editor's note: For an intro to fixed-point math, see Fixed-Point DSP and Algorithm Implementation. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a surprisingly ...

In this video from the Conference on Next Generation Arithmetic (CoNGA) conference in Singapore, Peter Lindstrom from Lawrence Livermore National Laboratory presents: Universal Coding of the Reals: ...

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 ...

You might need to use floating-point variables in some embedded software algorithms. You'll find this easy to do because all modern C compilers come with a floating-point library. However, when you're ...

Peter Lindstrom from LLNL gave this talk at the Conference on Next Generation Arithmetic in Singapore. “We propose a modular framework for representing the real numbers that generalizes IEEE, POSITS, ...