Floating-point arithmetic is a cornerstone of numerical ... The study of associated algorithms addresses inherent issues such as rounding errors, precision limits and the challenges of ...

has developed a means of artificial intelligence processing that replaces floating-point multiplication (FPM) with integer addition. The new method, called Linear-Complexity Multiplication (L-Mul ...

This paper studies the implementation of standard; Leading-One Predictor (LOP); and far and close data path (2-path) floating-point addition algorithms in FPGAs. Catch up on the latest tech ...

The new technique is basic—instead of using complex floating-point multiplication (FPM), the method uses integer addition. Apps use FPM to handle extremely large or small numbers, allowing ...

In this flow, algorithm development starts out in C, Java, or a domain-specific language such as MATLAB, each of which uses IEEE 754 compliant floating-point arithmetic. The algorithm gets passed to a ...

Machine-learning (ML) models, one of the most used forms of AI, are trained to handle those intensive tasks using floating-point arithmetic ... machine-learning algorithms, they often can't ...

In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed ... are introduced into the algorithm because of the reduced ...

Texas Instrument's TMS320F2806x Piccolo brings floating point to low cost DSPs in addition to a Viterbi ... to acceleration of communications algorithms. The chips have up to 100 Kbytes of RAM ...