At the recent HiPS2009 Workshops in Rome, Italy, a paper was presented on a new C++ CUDA framework.
This paper reports on CuPP, our newly developed C++ framework designed to ease integration of NVIDIA’s GPGPU system, CUDA, into existing C++ applications. CuPP provides interfaces to reoccurring tasks that are easier to use than the standard CUDA interfaces. In this paper we concentrate on memory management and related data structures. CuPP offers both a low level interface — mostly consisting of smart pointers and memory allocation functions for GPU memory — and a high level interface offering a C++ STL vector wrapper and the so-called type transformations. The wrapper can be used by both device and host to automatically keep data in sync. The type transformations allow developers to write their own data structures offering the same functionality as the CuPP vector, in case a vector does not conform to the need of the application.
The paper is available here.
via CuPP – A framework for easy CUDA integration :: GPGPU.org.
