CUDA Toolkit 3.0 now available

Good news!

There're some really delicious things in it:

• Multiple Copy Engine support
• Concurrent Kernel Execution
• C++ Class Inheritance and Template Inheritance support for increased programmer productivity
• CUDA Driver / Runtime Buffer Interoperability, which allows applications using the CUDA Driver API to also use libraries implemented using the CUDA C Runtime such as CUFFT and CUBLAS.
• CUBLAS now supports all BLAS1, 2, and 3 routines including those for single and double precision complex numbers
• New CUDA Memory Checker reports misalignment and out of bounds errors, available as a stand-alone utility and debugging mode within cuda-gdb
• On Linux, use cuda-gdb and cuda-memcheck, and check out the solutions from Allinea and TotalView that will be available soon.
• OpenCL Images support, for better/faster image filtering

C++ class inheritance is what I already was needed in my project. Higher performance and new debugging abilities also sounds great.