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 ...

[Editor's note: For an intro to fixed-point math, see Fixed-Point DSP and Algorithm Implementation ... That is exactly what floating-point arithmetic does. Floating Point to the Rescue As you have ...

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 ...

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 ...

Because so many microcontrollers now include a floating-point unit (FPU) that performs math operations, engineers can tackle a wider range of applications that rely on precise values for control ...

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 ...

Although floating point arithmetic standards – like the commonly used IEEE 754 – seek to minimize this error, it’s inevitable that across the range of a floating point variable loss of ...

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 ...