| can one write 3D apps directly with C-language of OpenCL and which packets and SDKs to use/build? |
No, you can't directly run OpenCL kernels. You need a host program that feeds them with data and executes them, and collects the output.
| ~ PYTHON 3.2 + availability of tools & apps such as numpy + supports multiprocessing & multi-core |
There is no point in using the latest version of Python. You get a few new language features, but this is rarely important. Use a version that can run all the libraries you need.
| PYOPENCL older than version 3.2 of Python - needs conversion |
Again, if you need PyOpenCL, use a version of Python that can run it.
| BOOST FOR C++ ~ C++ interface for Python |
Boost.Python is not a C++ interface to Python. It is a tool to create Python bindings easily, so you can use your C++ code from Python.
C++ is not an extra layer. It is compiled to machine code, unlike Python. In most cases you will get far better performance from a pure C++ application than from a Python application.
| C ~ why to use - why not directly OpenCL C-language ? |
OpenCL C99 is not a standalone language, you need to call it from a host program. You cannot write a host program in OpenCL C99.
| C of OpenC ~ why not directly this layer from application ? ~ available for apps in CPU ? ~ how to debug & analyze GPU ? |
AMD APP SDK can execute OpenCL kernels on the CPU. However, optimally performing kernels for the CPU are quite different than for the GPU.
| DirectX OpenGL ... ~ are any of these designed for GPUCPU programming ? |
They are much harder to use for general computing than OpenCL. Use them if you want to draw graphics.
| 64-bit OS GPU OS ~ no multicore support! ~ ? |
I don't know what you mean. Latest APP SDK supports concurrent kernel execution, so you get some degree of task parallelism.
| 64-bit ASM ~ when to use in CPU ? |
Never, unless you know exactly what you are doing.
| OpenCL Runtime here too ? ~ sources available ? free ? |
An OpenCL runtime is what you need to execute OpenCL kernels. It is contained in the APP SDK. There is no free software implementation of OpenCL that I'm aware of.
| 64-bit GPU - core is not a device ! - only 32-bit available! |
32-bit address space should not be a problem unless you data is larger than 4GB. However, there are no GPUs with more than 4GB of memory per core available on the market.
| PCI ? only interface bus <=> no for LAN no Web! |
Are you expecting to use LAN directly from the graphics card? I think you have some serious misconceptions.
