Floating-point arithmetic is necessary to meet precision and performance requirements for an increasing number of applications. Today, most 32-bit embedded processors that offer this functionality are ...

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 ...

Other than proving that floating point arithmetic is cursed, this also raises the question of why this works. Simplified numerator and denominator with floating point delta.

Most of the algorithms implemented in FPGAs used to be fixed-point. Floating-point operations are useful for computations involving large dynamic range, ...

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

Floating-point arithmetic is a cornerstone of modern computational science, providing an efficient means to approximate real numbers within a finite precision framework.

"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 ...

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 ...

Unfortunately, AVRs don’t have floating point arithmetic so [Alan] used fixed point arithmetic – a system similar to balancing your checkbook in cents rather than dollars.

Dubbed Half, the new datatype is equivalent to binary16, which is specified in the IEEE 754 standard for floating-point arithmetic.

However, in floating point arithmetic, the "radix point" is said to float because its location is determined by the power of 10 to which the numeric value is raised. The power is called the ...