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mmx

Here are 6 public repositories matching this topic...

simd-everywhere / simde

Implementations of SIMD instruction sets for systems which don't natively support them.

Updated Oct 3, 2024
C

6A1AC71C-60A7 / Apolloclipse

X86-64 bilateral instruction tokenizer implemented in C. Supports the following processor extensions: AES, AVX, AVX2, AVX512, FMA, MMX, SSE, SSE2, SSE3, SSE4, x87(FPU), VMX. In order to ease testing, a diassembler which transforms tokens into compilable assembly (for NASM compiler) has been implemented.

aes x86-64 tokenizer disassembler avx sse avx2 sse2 software-analysis nasm fma avx512 sse3 vmx x87 mmx fpu sse4

Updated Oct 2, 2022
C

borisfoko / Matrix-Multiplication-SIMD-Intrinsics-and-FPU

NxN Matrix Multiplication using SIMD with Intrinsics (MMX, SSE, SSE2, AVX, etc.) and FPU as inline ASM in C

c matrix linear-algebra asm avx sse simd sse2 mmx intel-intrinsics vtune

Updated Sep 6, 2021
C

cristian-bicheru / detect-simd

Python library to detect CPU SIMD capabilities.

detect avx sse python3 simd avx2 fma avx512 mmx

Updated Feb 16, 2021
C

lyjstudy / fingera

opencl avx simd sha256 avx2 sse2 avx512 mmx sse4

Updated Aug 9, 2018
C

agusalex / RGBmask

Small Program to demonstrate the effectiveness of SIMD over SISD

assembly simd vector-graphics mmx

Updated Jul 31, 2019
C

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