Hi Sumit, > If I were to use an Eigen Matrix, I can potentially access its raw data > using the Matrix.data() function. Is there anything similar in ViennaCL > also?
yes, there is. The respective member function is called handle() and returns a multi-backend handle. It then depends where the actual data is residing, as the data may be sitting in either main RAM, a CUDA device, or an OpenCL context: viennacl::vector<T> x(N); char *ram_data = x.handle().ram_handle().get(); char *cuda_data = x.handle().cuda_handle().get(); cl_mem opencl_data = x.handle().opencl_handle().get(); In order to find out which handle type is currently valid, use x.handle().get_active_handle_id() which is either viennacl::MEMORY_NOT_INITIALIZED, viennacl::MAIN_MEMORY, viennacl::CUDA_MEMORY, or viennacl::OPENCL_MEMORY Note that you usually want to reinterpret_cast<> the char* to the respective target type. On the other hand, you should *not* use these low-level functionality directly, unless you really know what you're doing and how the source and target memory layouts look like. Better use viennacl::copy() and eventually viennacl::fast_copy() instead, which are backend-agnostic and take care of the details. Best regards, Karli ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems _______________________________________________ ViennaCL-devel mailing list ViennaCL-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/viennacl-devel
