Migrated to OpenCL using Boost.Compute
Results of example/testdedisp seems passable compared to original CUDA version, though not tested seriously.

Installation: just make && make install it. If it can’t be built, check CL_INCLUDE_DIR and BOOST_COMPUTE_INLCUDE_DIR in Makefile.inc

Below is the original Readme.

---

dedisp

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

Installation Instructions:

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-8.0.61
   • INSTALL_DIR = $(HOME)/opt/dedisp
   • GPU_ARCH = sm_60
3. make && make install

This 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 and the library into INSTALL_DIR/lib.