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ashvardanian.com | ||
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huonw.github.io
An overview of my work on improving SIMD in Rust. |
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datascience.blog.wzb.eu
Modern computers are equipped with processors that allow fast parallel computation at several levels: Vector or array operations, which allow to execute similar operations simultaneously on a bunch... |
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eng.aurelienpierre.com
If you are working in image processing and using Python as a prototyping script language to test algorithms, you might have noticed that all the libs providing fast image interpolation methods (to either sub-sample or over-sample) work in 8 bits unsigned integers (uint8). This is quite annoying if you are working with floating point images. PIL supports floating point interpolation?, but only for one layer, thus forget about RGB, and scipy. |
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www.rastergrid.com
[AI summary] This technical article explains the SIMD (Single Instruction, Multiple Data) paradigm's role in GPU architecture, detailing its evolution from vector-based to SIMD-like (SIMT) designs and how developers should write efficient code accordingly. |
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