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jamesmunns.com | ||
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pavpanchekha.com
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| | | | | [AI summary] The article discusses the limitations of arbitrary precision arithmetic in avoiding floating point rounding errors and advocates for expression rearrangement as a more effective solution. | |
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basesandframes.wordpress.com
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| | | | | Download Presentation part 1 Download Presentation part 2 I was trying to interpolate a scaling function on an SPU on PS3 and realized, this device has no math library. How do you write powf() without access to libm? The IEEE754 standard for floating point numbers only covers five fundamental functions - addition, subtraction, multiplication, division... | |
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projectf.io
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| | | | | Sometimes you need more precision than integers can provide, but floating-point computation is not trivial (try reading IEEE 754). You could use a library or IP block, but simple fixed point maths can often get the job done with little effort. Furthermore, most FPGAs have dedicated DSP blocks that make multiplication and addition of integers fast; we can take advantage of that with a fixed-point approach. | |
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picknik.ai
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| | | This documentation outlines the procedures for setting up Visual Studio Code (VSCode) to build and execute ROS 2 projects effectively. | ||
