irasin

irasin's Stars

• Textualize/rich

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

  Language:Python50.1k5381.4k1.8k

• xiaolincoder/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

  14.8k961331.9k

• adam-maj/tiny-gpu

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

  Language:SystemVerilog7.2k6924547

• HazyResearch/ThunderKittens

  Tile primitives for speedy kernels

  Language:Cuda1.8k303186

• DefTruth/CUDA-Learn-Notes

  📚150+ Tensor/CUDA Cores Kernels, ⚡️flash-attn-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 🎉🎉).

  Language:Cuda1.8k149187

• ray-project/llm-applications

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

  Language:Jupyter Notebook1.7k1812234

• tip-of-the-week/cpp

  C++ Tip Of The Week

  Language:Python1.6k140573

• boost-ext/ut

  C++20 μ(micro)/Unit Testing Framework

  Language:C++1.3k29166122

• gpgpu-sim/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.

  Language:C++1.2k46171517

• lizhe2004/Awesome-LLM-RAG-Application

  the resources about the application based on LLM with RAG pattern

  96515156

• ilqvya/random

  Random for modern C++ with convenient API

  Language:C++914331681

• banach-space/clang-tutor

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

  Language:C++712201764

• owenliang/qwen-vllm

  通义千问VLLM推理部署DEMO

  Language:Python4827971

• PacktPublishing/Learn-LLVM-12

  Learn LLVM 12, published by Packt

  Language:C++4771217103

• Cjkkkk/CUDA_gemm

  A simple high performance CUDA GEMM implementation.

  Language:Cuda3395337

• NVIDIA/nvbandwidth

  A tool for bandwidth measurements on NVIDIA GPUs.

  Language:C++337121830

• blackinkkkxi/RAG_langchain

  一个基于langchain实现RAG的简单示例

  Language:Jupyter Notebook3352156

• Bruce-Lee-LY/cuda_hgemm

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

  Language:Cuda32441268

• KnowingNothing/MatmulTutorial

  A Easy-to-understand TensorOp Matmul Tutorial

  Language:C++30191132

• te42kyfo/gpu-benches

  collection of benchmarks to measure basic GPU capabilities

  Language:Jupyter Notebook26991141

• codeplaysoftware/portBLAS

  An implementation of BLAS using the SYCL open standard.

  Language:C++261254750

• franneck94/CppProjectTemplate

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

  Language:CMake24115491

• TiledTensor/TiledCUDA

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

  Language:C++17236410

• hunterzju/llvm-tutorial

  llvm-tutorial文档，翻译以及代码仓库

  Language:C++1576125

• wzsh/wmma_tensorcore_sample

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

  Language:Cuda1224219

• nicolaswilde/cuda-tensorcore-hgemm

  Language:Cuda1185021

• AyakaGEMM/Hands-on-GEMM

  Language:Cuda1012415

• wmmae/wmma_extension

  An extension library of WMMA API (Tensor Core API)

  Language:Cuda878414

• MARD1NO/CUDA-PPT

  792012

• NVIDIA/online-softmax

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

  Language:Cuda61607