Support for all the OpenCL features in the latest R195 production driver package:.

On Linux, use cuda-gdb and cuda-memcheck, and check out the solutions from Allinea and TotalView that will be available soon.

On Windows, use the new Parallel Nsight development environment for Visual Studio, with integrated GPU debugging and profiling tools (was code-named 'Nexus').

Now that more sophisticated hardware debugging tools are available and more are on the way, NVIDIA will be focusing on supporting these tools instead of the legacy device emulation functionality.

Support for device emulation mode has been packaged in a separate version of the CUDA C Runtime (CUDART), and is deprecated in this release.

CUDA C/C++ kernels are now compiled to standard ELF format.

CUDA Toolkit libraries are now versioned, enabling applications to require a specific version, support multiple versions explicitly, etc.

New CUDA Memory Checker reports misalignment and out of bounds errors, available as a stand-alone utility and debugging mode within cuda-gdb.

cuda-gdb support for JIT-compiled kernels.

cuda-gdb hardware debugging support for applications that use the CUDA Driver API.

Up to 100x performance improvement while debugging applications with cuda-gdb.

CUBLAS now supports all BLAS1, 2, and 3 routines including those for single and double precision complex numbers.

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.

A new unified interoperability API for Direct3D and OpenGL, with support for:.

C++ Class Inheritance and Template Inheritance support for increased programmer productivity.Fermi HW profiling support for CUDA C and OpenCL in Visual Profiler.Support for the new Fermi architecture, with:.Download Quick Links Ī more recent release is available see the CUDA Toolkit and GPU Computing SDK home pageįor older releases, see the CUDA Toolkit Release Archive

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