simd-optimization

Here are 3 public repositories matching this topic...

Ra4ster / Deepity

(WIP) Ultra-fast, SIMD-accelerated Predictive Coding (PC) model library in bare-metal C++

machine-learning performance statistics neural-network cpp hpc cuda neuroscience artificial-intelligence simd avx512 mkl openblas cpp20 neuromorphic-computing predictive-coding sleef simd-optimization

Updated Sep 29, 2026
C++

MarkysUNIT77 / x5-chizhik-vector-core

Star

Микроядро локального векторного инференса на Edge-устройствах без контейнерного оверхеда. Высокопроизводительная альтернатива тяжелым ИИ-контейнерам на базе NumPy + Numba JIT (LLVM SIMD float32). Поддерживает паттерн fused single-pass, режим nogil=True для параллельной утилизации ЦП и IPC через np.memmap. Скорость косинусного выравнивания: 18.2 мкс

high-performance low-latency edge-ai nogil fused-kernel numba-jit simd-optimization numpy-memmap python-inference vector-inference

Updated Sep 26, 2026
Python

MHR-Bathaei / AETHERQ

Star

A hardware-accelerated, zero-heap C++ Graph Neural Network (GNN) inference engine for edge deployments. Utilizes 256-bit SIMD (AVX2/FMA) to achieve ultra-low latency (~4.1µs) execution. Features a local microservice daemon with JSON IPC and an in-line physics validation layer.

embedded-systems cpp17 low-latency avx2 graph-neural-networks edge-ai simd-optimization

Updated Jun 7, 2026
C

Add this topic to your repo

To associate your repository with the simd-optimization topic, visit your repo's landing page and select "manage topics."

Learn more