dedisp

This repositry is derived from Ben Barsdell's original GPU De-dedispersion library (code.google.com/p/dedisp)

Installation Instructions (CMake):

Using command line CMake

1. git clone https://github.com/ajameson/dedisp.git
2. mkdir build; cd build

Using command line CMake, choose relevant ON/OFF values, ## two digit CUDA architecture, and optional install path

3. cmake -DDEDISP_USE_TEXTURE=ON \ -DDEDISP_BUILD_TESTS=ON \ -DBUILD_SHARED_LIBS=ON \ -DCMAKE_CUDA_ARCHITECTURES=70 \ -DCMAKE_INSTALL_PREFIX="/path/to/install" \ -DCMAKE_CUDA_COMPILER="/path/to/nvcc" ../dedisp

Alternatively, use the CMake GUI via

3. ccmake ../dedisp

Last, make (and install) the componenets

4. make -j install

Using Makefile

1. git clone https://github.com/ajameson/dedisp.git
2. Update Makefile.inc with your CUDA path, Install Dir and GPU architecture. e.g.
   • CUDA_PATH ?= /usr/local/cuda-12.4
   • INSTALL_DIR = $(HOME)/opt/dedisp
   • GPU_ARCH = sm_60
3. make && make install

Either of these will build a shared object library named libdedisp.so which is a prerequisite for Heimdall. The dedisp header files will be installed into INSTALL_DIR/include, the test and runtime library into INSTALL_DIR/lib. The CMake method will build static libraries libdedisp.a, libdedisp_test.a or a shared libraries libdedisp.so, libdedisp_test.so via the CMake variable BUILD_SHARED_LIBS. Install locations are unchanged, with the additions that the test executable will be placed into INSTALL_DIR/bin and libdedisp_test.a/so will be placed in INSTALL_DIR/lib. CMake's usual boiler plate configuration files are in the CMake default paths.