cuvec 0.1.0

Unifying Python/C++/CUDA memory: Python buffered array -> C++11 `std::vector` -> CUDA managed memory

Unifying Python/C++/CUDA memory: Python buffered array -> C++11 std::vector -> CUDA managed memory.

Install

Requirements:

• Python 3.6 or greater (e.g. via Anaconda or Miniconda)

• CUDA SDK/Toolkit (including drivers for an NVIDIA GPU)

pip install cuvec

External CMake Projects

The raw C++/CUDA libraries may be included in external projects using cmake. Simply build the project and use find_package(AMYPADcuvec).

# print installation directory (after `pip install cuvec`)...
python -c "import cuvec; print(cuvec.cmake_prefix)"

# ... or build & install directly with cmake
mkdir build && cd build
cmake ../cuvec && cmake --build . && cmake --install . --prefix /my/install/dir

At this point any external project may include cuvec as follows (Once setting -DCMAKE_PREFIX_DIR=<installation prefix from above>):

cmake_minimum_required(VERSION 3.3 FATAL_ERROR)
project(myproj)
find_package(AMYPADcuvec COMPONENTS cuvec REQUIRED)
add_executable(myexe ...)
target_link_libraries(myexe PRIVATE AMYPAD::cuvec)

Licence

Copyright 2021

• Casper O. da Costa-Luis @ University College London/King’s College London

• Contributors