Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, ...

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A classic and straightforward technique is presented which is not limited to the size or type of number representation used or multiple precision arithmetic.

A.I. is getting good at math — and might soon make a worthy collaborator for humans. By Siobhan Roberts At the headquarters of Google DeepMind, an artificial intelligence laboratory in London, ...

An unfortunate reality of trying to represent continuous real numbers in a fixed space (e.g. with a limited number of bits) is that this comes with an inevitable loss of both precision and accuracy.

Abstract: In digital signal processing, the arithmetic of floats is very significant. The arithmetic float point unit, which is normally selectable for various precision floating point numbers, is ...

Abstract: Floating-point arithmetic is an important form in numerical computation, IEEE Standard for Floating-Point Arithmetic - IEEE 754 floats has been applied in overwhelming majority of ...

ABSTRACT: An open source high level synthesis fixed-to-floating and floating-to-fixed conversion tool is presented for embedded design, communication systems, and signal processing applications. Many ...

ABSTRACT: The present paper describes a multichannel digital random pulse generator implemented in a 65-nm FPGA device. The random time interval generation is based on inverse transformation method.