Thrust is a C++ parallel programming library which resembles the C++ Standard Library. Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. Interoperability with established technologies (such as CUDA, TBB, and OpenMP) facilitates integration with existing software. Develop high-performance applications rapidly with Thrust!

Thrust is included in the NVIDIA HPC SDK and the CUDA Toolkit.

The CUDA Toolkit provides a recent release of the Thrust source code in include/thrust. This will be suitable for most users.

Users that wish to contribute to Thrust or try out newer features should recursively clone the Thrust Github repository:

git clone --recursive https://github.com/NVIDIA/thrust.git

Thrust is a header-only library; there is no need to build or install the project unless you want to run the Thrust unit tests.

For CMake-based projects, we provide a CMake package for use with find_package. See the CMake README for more information. Thrust can also be added via add_subdirectory or tools like the CMake Package Manager.

For non-CMake projects, compile with:

• The Thrust include path (-I<thrust repo root>/thrust)
• The CUB include path, if using the CUDA device system (-I<thrust repo root>/dependencies/cub/)
• By default, the CPP host system and CUDA device system are used. These can be changed using compiler definitions:
  • -DTHRUST_HOST_SYSTEM=THRUST_HOST_SYSTEM_XXX, where XXX is CPP (serial, default), OMP (OpenMP), or TBB (Intel TBB)
  • -DTHRUST_DEVICE_SYSTEM=THRUST_DEVICE_SYSTEM_XXX, where XXX is CPP, OMP, TBB, or CUDA (default).

Thrust is best explained through examples. The following source code generates random numbers serially and then transfers them to a parallel device where they are sorted.

#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/generate.h>
#include <thrust/sort.h>
#include <thrust/copy.h>
#include <algorithm>
#include <cstdlib>

int main(void)
{
  // generate 32M random numbers serially
  thrust::host_vector<int> h_vec(32 << 20);
  std::generate(h_vec.begin(), h_vec.end(), rand);

  // transfer data to the device
  thrust::device_vector<int> d_vec = h_vec;

  // sort data on the device (846M keys per second on GeForce GTX 480)
  thrust::sort(d_vec.begin(), d_vec.end());

  // transfer data back to host
  thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin());

  return 0;
}

This code sample computes the sum of 100 random numbers in parallel:

#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/generate.h>
#include <thrust/reduce.h>
#include <thrust/functional.h>
#include <algorithm>
#include <cstdlib>

int main(void)
{
  // generate random data serially
  thrust::host_vector<int> h_vec(100);
  std::generate(h_vec.begin(), h_vec.end(), rand);

  // transfer to device and compute sum
  thrust::device_vector<int> d_vec = h_vec;
  int x = thrust::reduce(d_vec.begin(), d_vec.end(), 0, thrust::plus<int>());
  return 0;
}

Additional usage examples can be found in the examples/ and testing/ directories of the Github repo.

• API Reference
• Examples
• User Support

Thrust is regularly tested using the specified versions of the following compilers. Unsupported versions may emit deprecation warnings, which can be silenced by defining THRUST_IGNORE_DEPRECATED_COMPILER during compilation.

• NVCC 11.0+
• NVC++ 20.9+
• GCC 5+
• Clang 7+
• MSVC 2019+ (19.20/16.0/14.20)

Thrust is distributed with the NVIDIA HPC SDK and the CUDA Toolkit in addition to GitHub.

See the changelog for details about specific releases.

Thrust uses the CMake build system to build unit tests, examples, and header tests. To build Thrust as a developer, the following recipe should be followed:

# Clone Thrust and CUB repos recursively:
git clone --recursive https://github.com/NVIDIA/thrust.git
cd thrust

# Create build directory:
mkdir build
cd build

# Configure -- use one of the following:
cmake ..   # Command line interface.
ccmake ..  # ncurses GUI (Linux only)
cmake-gui  # Graphical UI, set source/build directories in the app

# Build:
cmake --build . -j <num jobs>   # invokes make (or ninja, etc)

# Run tests and examples:
ctest

By default, a serial CPP host system, CUDA accelerated device system, and C++14 standard are used. This can be changed in CMake. More information on configuring your Thrust build and creating a pull request can be found in CONTRIBUTING.md.