Abstract: The paper describes the fused floating-point Add-Subtract Unit using IEEE-754 standard 32 bit floating point number representation. In fused add-subtract unit, both add unit and subtract ...

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 ...

Abstract: Rounding and accumulation of errors when using floating point numbers are important factors in computer arithmetic. Many applications suffer from these problems. The underlying machine ...

A way to represent very large and very small numbers using the same quantity of numeric positions. Floating point also enables calculating a wide range of numbers very quickly. Although floating point ...

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 ...

Beforediscussing a new approach that enables floating-point implementation inhardware with performance similar to that of fixed-point processing, it isfirst necessary to discuss the reason why ...

Without a doubt, many algorithms can benefit from employing a floating-point implementation. The code can be simpler and take fewer cycles to execute than fixed-point implementations. However, these ...