A floating-point image format partly solves this problem, as it makes it possible to represent subtle nuances in a picture with a wide range in brightness. Compared to software emulation, FPUs can ...

This article explains the basics of floating-point arithmetic, how floating-point units (FPUs) work, and how to use FPGAs for easy, low-cost floating-point processing. Inside microprocessors, numbers ...

Floating-point arithmetic is a cornerstone of numerical computation, enabling the approximate representation of real numbers in a format that balances range and precision.

Technical Terms Floating-point arithmetic: A method for representing real numbers in a finite precision format, utilising a significand and an exponent.

Our whitepaper compares the efficiency of floating point and integer quantization. For training, the floating-point formats FP16 and FP32 are commonly used as they have high enough accuracy, and ...

The data precision can significantly affect the accuracy and overhead metrics of hardware accelerators for different applications such as artificial neural networks (ANNs). This paper evaluates the ...

This application note presents an implementation of the following floating point math routines for the PICmicro microcontroller families: float to integer conversion integer to float conversion ...

"Dr. Gustafson has recently finished writing a book, The End of Error: Unum Computing, that presents a new approach to computer arithmetic: the unum. The universal number, or unum format, encompasses ...