qelk123

qelk123's Stars

• microsoft/triton-shared

  Shared Middle-Layer for Triton Compilation

  Language:MLIR17837

• TiledTensor/TiledCUDA

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

  Language:C++1439

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java97.8k12.4k

• eillsu/iTerm2-Chinese-Tutorial

  iTerm2 中文教程

  10019

• KnowingNothing/MatmulTutorial

  A Easy-to-understand TensorOp Matmul Tutorial

  Language:C++28330

• epfml/dynamic-sparse-flash-attention

  Language:Jupyter Notebook1316

• Liu-xiandong/How_to_optimize_in_GPU

  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

  Language:Cuda819130

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.2k2.7k

• flashinfer-ai/flashinfer

  FlashInfer: Kernel Library for LLM Serving

  Language:Cuda1.4k123

• sjfeng1999/gpu-arch-microbenchmark

  Dissecting NVIDIA GPU Architecture

  Language:Cuda8124

• j2kun/mlir-tutorial

  MLIR For Beginners tutorial

  Language:C++79964

• llvm/torch-mlir

  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

  Language:C++1.3k502

• bytedance/byteir

  A model compilation solution for various hardware

  Language:MLIR37341

• meta-llama/llama

  Inference code for Llama models

  Language:Python56.2k9.6k

• NVlabs/NVBit

  22221

• zwang4/awesome-machine-learning-in-compilers

  Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

  1.4k163

• UniHD-CEG/cuda-flux

  CUDA Flux is a profiler for GPU applications which reports the basic block executions frequencies of compute kernels

  Language:C++316

• hpc-ulisboa/gpuPTXModel

  GPU Static Modeling using PTX and Deep Structured Learning

  Language:Cuda172

• lanl/PPT

  Performance Prediction Toolkit

  Language:Python5112

• UniHD-CEG/gpu-mangrove

  machine learning model for execution time and power prediction of CUDA kernels

  44

• sderek/CUDAAdvisor

  CUDAAdvisor: a GPU profiling tool

  Language:Cuda4814

• 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++1.1k506

• NVIDIA/cccl

  CUDA Core Compute Libraries

  Language:C++1.2k156

• gem5/gem5

  The official repository for the gem5 computer-system architecture simulator.

  Language:C++1.7k1.2k

• arrayfire/arrayfire

  ArrayFire: a general purpose GPU library.

  Language:C++4.6k534

• flexflow/FlexFlow

  FlexFlow Serve: Low-Latency, High-Performance LLM Serving

  Language:C++1.7k224

• NervanaSystems/maxas

  Assembler for NVIDIA Maxwell architecture

  Language:Sass947162

• SuperScientificSoftwareLaboratory/DASP

  Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication" by Yuechen Lu and Weifeng Liu.

  Language:C++173

• kokkos/kokkos

  Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

  Language:C++2k436

• LC044/WeChatMsg

  提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

  Language:Python34.1k3.6k