
I Built a Neural Network Inference Engine From Scratch in C++ (No PyTorch, No ONNX, Just AVX2)
A from-scratch CPU inference engine implementing cache-tiled GEMM, AVX2 SIMD, and INT8 quantization — the same low-level tricks behind ggml and llama.cpp.
Tag archive

A from-scratch CPU inference engine implementing cache-tiled GEMM, AVX2 SIMD, and INT8 quantization — the same low-level tricks behind ggml and llama.cpp.
TL;DR: RISC-V’s Vector Extension (RVV) brings length-agnostic SIMD to the open ISA. Unlike x86’s...

When Go 1.26 released - they released something interesting under the experimental tag. SIMD: Single...

Hi there, i'm Gideon. Roughly 1.5 years of writing C++ from the ground up — ray tracers, video...
In the world of software development, especially in high-level languages like Python, we often trade...
Introdução: O Poder do Paralelismo de Dados No mundo da computação de alta performance,...
Introduction The lo library, a staple in functional programming workflows, has released...
A friend shared Sylvain Kerkour's post SIMD programming in pure Rust which covers AVX-512 on AMD Zen...

In this post we'll write and run benchmarks for four common BLAS routines, comparing two different BLAS implementations in C++.

If you work with numerical-heavy workloads in .NET — like financial calculations, trading engines, or...
When building rfgrep, a high-performance file search tool, I faced a fundamental challenge: how do...
本篇讨论 C 程序 SIMD 的实现。 使用 emscripten 编译 emscripten 支持 SIMD 指令编译,使用之前需要引入头文件 #include...