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NVIDIA CUTLASS Documentation

NVIDIA CUTLASS Documentation - Home NVIDIA CUTLASS Documentation - Home

NVIDIA CUTLASS Documentation

Table of Contents

  • Changelog

CuTe DSL

  • Overview
  • Functionality
  • Quick Start Guide
  • CuTe DSL
    • Introduction
    • Code Generation
    • Control Flow
    • JIT Argument Generation
    • JIT Argument: Layouts
    • JIT Caching
    • Integration with Frameworks
    • Debugging with the DSL
    • Autotuning with the DSL
    • Educational Notebooks
  • CuTe DSL API
    • cute
    • cute_arch
    • cute_nvgpu
      • Common
      • warp submodule
      • warpgroup submodule
      • cpasync submodule
      • tcgen05 submodule
    • utils
  • Limitations
  • FAQs

CUTLASS C++

  • Overview
  • Getting Started
    • Quickstart
    • IDE Setup
    • Build
      • Building on Windows with Visual Studio
      • Building with Clang as host compiler
    • Functionality
    • Terminology
    • Fundamental Types
    • Programming Guidelines
  • Efficient GEMM in CUDA
  • Synchronization primitives
  • CUTLASS Profiler
  • Dependent Kernel Launch
  • Blackwell Specific
    • Blackwell SM100 GEMMs
    • Blackwell Cluster Launch Control
  • CuTe
    • 00_quickstart
    • 01_layout
    • 02_layout_algebra
    • 03_tensor
    • 04_algorithms
    • 0t_mma_atom
    • 0x_gemm_tutorial
    • 0y_predication
    • 0z_tma_tensors
  • CUTLASS 3.x
    • Design
    • GEMM Backwards Compatibility
    • GEMM API
  • CUTLASS 2.x
    • Layouts and Tensors
    • GEMM API
    • Tile Iterator Concepts
    • Utilities
  • Code Organization
  • Grouped Kernel Schedulers
  • CUTLASS Convolution

Reference

  • Software License Agreement
  • Getting Started

Getting Started#

  • Quickstart
    • Prerequisites
    • Initial build steps
    • Build and run the CUTLASS Profiler
    • Build and run CUTLASS Unit Tests
    • Building for Multiple Architectures
    • Using CUTLASS within other applications
    • Launching a GEMM kernel in CUDA
    • Launching a GEMM kernel using CUTLASS 3.0 or newer
    • CUTLASS Library
    • Example CMake Commands
    • GEMM CMake Examples
    • Convolution CMake Examples
    • Instantiating a Blackwell SM100 GEMM kernel
  • IDE Setup
    • Overview
    • VSCode Setup
    • clangd Setup
  • Build
    • Building on Windows with Visual Studio
    • Building with Clang as host compiler
  • Functionality
    • Device-level GEMM
    • Device-level Implicit GEMM convolution
    • Warp-level Matrix Multiply with Tensor Cores
    • Warp-level Matrix Multiply with CUDA WMMA API
  • Terminology
  • Fundamental Types
    • Numeric Types
    • Containers
    • Functional
    • Numeric Conversion
  • Programming Guidelines
    • Hierarchical Organization
    • Design Patterns
    • Style
    • CUTLASS idioms

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Last updated on May 14, 2025.