In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...

Developing fixed-point algorithm descriptions used to require tradeoffs between design functionality, modeling of numerical precision, and validation (simulation) speed. Now, a new class of C++ ...

C++ is a general-purpose systems programming language that is now more than 40 years old, having been designed in 1979. Far from losing steam, C++ still ranks near the top of multiple programming ...

Why floating point is important for developing machine-learning models. What floating-point formats are used with machine learning? Over the last two decades, compute-intensive artificial-intelligence ...

Many numerical applications typically use floating-point types to compute values. However, in some platforms, a floating-point unit may not be available. Other platforms may have a floating-point unit ...

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.