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neon
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MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
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Feb 18, 2021 - C++
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
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Dec 23, 2020 - Python
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
android
linux
machine-learning
arm
computer-vision
neural-network
cpp
neon
opencl
simd
armv7
aarch64
armv8
sve
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Nov 27, 2020 - C++
C++ image processing and machine learning library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.
c-plus-plus
machine-learning
arm
neural-network
neon
image-processing
avx
sse
simd
avx2
sse2
sse41
avx512
powerpc
altivec
vsx
ssse3
simd-library
haar-cascade
lbp
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Feb 24, 2021 - C++
mr-c
commented
Dec 30, 2020
Examples from simd-everywhere/simde#685
SIMDE_FLOAT32_C(-2147483650.0)
SIMDE_FLOAT32_C( 2147483649.0)
SIMDE_FLOAT64_C(-2147483650.0)
SIMDE_FLOAT64_C( 2147483649.0)
The procedure is:
- Find tests that use
SIMDE_FLOAT32_CorSIMDE_FLOAT64_Cin theirtest_vec - Copy-n-paste an entry in the
test_vec, modifying the inputs using the overflow valu
Open
AVX-512BW functions
10
19
SIMD Vector Classes for C++
c-plus-plus
cpp
portable
neon
cpp14
parallel
parallel-computing
avx
sse
cpp11
simd
cpp17
avx2
simd-programming
vectorization
avx512
simd-instructions
simd-vector
data-parallel
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Jan 6, 2021 - C++
C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)
cpp
neon
avx
sse
simd
c-plus-plus-14
vectorization
avx512
mathematical-functions
simd-instructions
simd-intrinsics
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Feb 24, 2021 - C++
c
euler
opengl
math
postfix
neon
vector
matrix
bezier
avx
sse
simd
affine-transform-matrices
opengl-math
3d
bounding-boxes
matrix-decompositions
frustum
3d-math
marix-inverse
glm-for-c
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Feb 22, 2021 - C
Native Go version of HighwayHash with optimized assembly implementations on Intel and ARM. Able to process over 10 GB/sec on a single core on Intel CPUs - https://en.wikipedia.org/wiki/HighwayHash
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Sep 16, 2020 - Go
C++ SIMD Noise Library
neon
simplex
fractal
sse
simd
noise
cellular
avx2
perlin
perlin-noise
white-noise
noise-library
noise-3d
fastnoise-simd
simplex-noise
fastnoise
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Sep 20, 2020 - C++
SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
android
ios
arm
neon
cuda
avx
simd
elementary-functions
sse2
fft
vectorization
math-library
aarch64
avx512
powerpc
vsx
vector-math
s390x
quadruple-precision
sve
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Updated
Feb 19, 2021 - C
A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
arm
neon
sse
simd
x86
arm64
aarch64
armv8
armv7l
intel-intrinsics
biilabs
armv8-a
intel-sse-intrinsics
neon-intrinsics
sse-intrinsics
sse2neon
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Feb 25, 2021 - C++
Performance-portable, length-agnostic SIMD with runtime dispatch
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Feb 24, 2021 - C++
A colorful bright-on-black color scheme for Sublime Text and TextMate. Its aim is to make as many languages as possible look as good as possible. Includes extended support for Python, Ruby, Clojure, JavaScript/JSON, C/C++, diff, HTML/XML, Markdown, PHP, CSS/SCSS/SASS, GitGutter, Find In Files, PackageDev, Regex, SublimeLinter, and much more.
neon
sublime-text
color-scheme
textmate
sublime-text-3
sublime-text-plugin
sublime-text-package
neon-color-scheme
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Feb 23, 2021 - Yacc
Math library using hlsl syntax with SSE/NEON support
math
cpp
shaders
neon
c-plus-plus-11
vector
matrix
modern-cpp
game-development
avx
sse
quaternion
variants
hlsl
sse41
math-library
ser
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Feb 24, 2021 - C++
Agenium Scale vectorization library for CPUs and GPUs
hpc
neon
cuda
avx
simd
avx2
sse2
simd-programming
aarch64
avx512
simd-instructions
simd-library
sse42
rocm
cpp20
sve
neon128
cpp20-library
vectorization-library
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Feb 25, 2021 - Python
JeVois smart machine vision framework
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Sep 10, 2020 - C
SIMD (SWAR/SSE/SSE4/AVX2/AVX512F/ARM Neon) of Karp-Rabin algorithm's modification
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Mar 4, 2020 - C++
Efficient monocular visual odometry for ground vehicles on ARM processors
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Feb 18, 2021 - C++
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docs/tape.md contains example tape dump output for parse of jsonexamples/small/demo.json which begins as
0 r // pointing to 38 (right after last node)
1 { // pointing to next tape location 38 (first node after the scope)
However, when executing ./tools/json2json -d jsonexamples/small/demo.json the observed output is
0 : r // pointing to 39 (right after last node)
1 : { // pointing to ne