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Building QUDA

The following pages give information on QUDA's build system and dependencies

• QUDA Quick Start Guide

  1. Installation
  2. Internal Testing
  3. Kernel Autotuning
  4. Debugging
  5. Manually Running Basic Tests

• QUDA Build With CMake

  1. QUDA and CMake
  2. Obtaining CMake
  3. Building QUDA using CMake
  4. Reducing QUDA build time
  5. Building QUDA with clang-cuda
  6. Building QUDA with HIP/ROCm

• QUDA Environment Variables

Multi-GPU QUDA

These pages give information on how to build QUDA using MPI, including some machine-specific instructions

• Multi GPU Support
  1. Compiling for Multi-GPU
  2. Running
  3. Running QUDA's Tests
  4. Multi-GPU Emulation
  5. Peer-to-peer Communication
  6. GPU Direct RDMA and CUDA-aware MPI
  7. Maximizing GDR Performance
  8. Dependence on CUDA_DEVICE_MAX_CONNECTIONS
  9. Low-level Details
  10. Dslash Policy Tuning
  11. Dslash Component Benchmarking
• Installing MVAPICH2 GDR
• Split Grid

Using QUDA In Your applications

• QUDA Interface
• QUDA Parameter Structures
• QUDA Data Structures And Types
• Best Practices

QUDA Development

Contributing to QUDA

• Updating the QUDA Interface
• Adding new QUDA features
• Writing QUDA Kernels
• Coding Conventions and Style

Resources

• QUDA Development model Some Rules and Best Practices for writing code and use of git
• Continuous Integration
• QUDA Release Procedure
• QUDA Release Testing
• QUDA Debugging
• Timing QUDA build
• External QUDA mods

Case Studies: Pedagogical Instructions On Using Some of QUDA's Key Features

Below we have included some important case studies, designed to be guides on how to get the most out of QUDA solvers for different use cases in modern LQCD.

• Tensor Cores