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Here are some ressources related to Vectorization, Intrinsics, Matrix_operations. Hoping you will find learning material, alternative tools or just some interesting stuff.

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Articles

Basic SAT model of x86 instructions using Z3, autogenerated from Intel docs
See discussion (24 comments, 153 points) - Archive
I over-engineered a Fast Fourier Transform for Arduino
See discussion (84 comments, 294 points) - Archive
SIMD accelerated sorting in Java – how it works and why it was 3x faster
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BLAS-level CPU Performance in 100 Lines of C
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Prefix Sum with SIMD
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WebAssembly techniques to speed up matrix multiplication
See discussion (128 comments, 251 points) - Archive
Shrinking a Kotlin Binary by 99.2%
See discussion (29 comments, 100 points) - Archive
Which is better on Android: divide by 2 or shift by 1?
See discussion (110 comments, 148 points) - Archive
Karatsuba Algorithm
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An Introduction to Vectorization
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Why is 2 * (i * i) faster than 2 * i * i in Java?
See discussion (100 comments, 424 points) - Archive
How to write efficient matrix multiplication
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Google removes SIMD.js support from Chromium
See discussion (56 comments, 92 points) - Archive
The state of SIMD.js performance in Firefox
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Introducing SIMD.js
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Why does this Java program terminate despite appearing that it shouldn't?
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How to achieve 4 flops per cycle?
See discussion (14 comments, 89 points) - Archive
Beating NumPy matrix multiplication in 150 lines of C
See discussion (81 comments, 392 points) - Archive