irasin

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

CS-Base

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

tiny-gpu

A minimal GPU design in Verilog to learn how GPUs work from the ground up

llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

cpp

C++ Tip Of The Week

ThunderKittens

Tile primitives for speedy kernels

CUDA-Learn-Notes

🎉 Modern CUDA Learn Notes with PyTorch: fp32, fp16, bf16, fp8/int8, flash_attn, sgemm, sgemv, warp/block reduce, dot, elementwise, softmax, layernorm, rmsnorm.

ut

C++20 μ(micro)/Unit Testing Framework

gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.

random

Random for modern C++ with convenient API

Awesome-LLM-RAG-Application

the resources about the application based on LLM with RAG pattern

clang-tutor

A collection of out-of-tree Clang plugins for teaching and learning

Learn-LLVM-12

Learn LLVM 12, published by Packt

qwen-vllm

通义千问VLLM推理部署DEMO

CUDA_gemm

A simple high performance CUDA GEMM implementation.

nvbandwidth

A tool for bandwidth measurements on NVIDIA GPUs.

MatmulTutorial

A Easy-to-understand TensorOp Matmul Tutorial

cuda_hgemm

Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.

RAG_langchain

一个基于langchain实现RAG的简单示例

gpu-benches

collection of benchmarks to measure basic GPU capabilities

portBLAS

An implementation of BLAS using the SYCL open standard.

CppProjectTemplate

C++ project template with unit-tests, documentation, ci-testing and workflows.

llvm-tutorial

llvm-tutorial文档，翻译以及代码仓库

TiledCUDA

TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.

wmma_tensorcore_sample

Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)

cuda-tensorcore-hgemm

Hands-on-GEMM

wmma_extension

An extension library of WMMA API (Tensor Core API)

CUDA-PPT

online-softmax

Benchmark code for the "Online normalizer calculation for softmax" paper