Engineers targeting DSP to FPGAs have traditionally used fixed-point arithmetic, mainly because of the high cost associated with implementing floating-point arithmetic. That cost comes in the form of ...

I am working on a viewshed* algorithm that does some floating point arithmetic. The algorithm sacrifices accuracy for speed and so only builds an approximate viewshed. The algorithm iteratively ...

Hardware for integer or fixed-point arithmetic is relatively simple to design, at least at the register-transfer level. If the range of values and precision that can be represented with these formats ...

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 ...

All the Latest Game Footage and Images from Floating Point Floating Point is a free, peaceful game about using a grappling hook to swing yourself gracefully through randomly generated spaces. In the ...

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...

Once the domain of esoteric scientific and business computing, floating point calculations are now practically everywhere. From video games to large language models and kin, it would seem that a ...

Before becoming adopted as a catch-phrase on TikTok, the term ‘flop’ was a short-hand for floating point operations per second. Floating point numbers are commonly known as “real” numbers and, in the ...

If you want a CPU that has the floating point performance of a GPU, all you have to do is wait six or so years and the CPU roadmaps can catch up. This seems like a long time to wait, which is why so ...