| Di seguito sono consultabili le note di rilascio - in gergo "release notes" - relative al file CUDA Toolkit 3.0, nel caso in cui gli sviluppatori abbiano reso disponibile tale documentazione in occasione della pubblicazione del software. Tuttavia, se hai bisogno di maggiori informazioni su CUDA Toolkit 3.0, o se le note di rilascio non sono (ancora) disponibili, è comunque possibile procedere con la lettura della descrizione del file. |
- Support for the new Fermi architecture, with:
- Native 64-bit GPU support
- Multiple Copy Engine support
- ECC reporting
- Concurrent Kernel Execution
- Fermi HW debugging support in cuda-gdb
- Fermi HW profiling support for CUDA C and OpenCL in Visual Profiler
- C++ Class Inheritance and Template Inheritance support for increased programmer productivity
- A new unified interoperability API for Direct3D and OpenGL, with support for:
- OpenGL texture interop
- Direct3D 11 interop support
- 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
- Up to 100x performance improvement while debugging applications with cuda-gdb
- cuda-gdb hardware debugging support for applications that use the CUDA Driver API
- cuda-gdb support for JIT-compiled kernels
- New CUDA Memory Checker reports misalignment and out of bounds errors, available as a stand-alone utility and debugging
mode within cuda-gdb
- CUDA Toolkit libraries are now versioned, enabling applications to require a specific version, support multiple versions
explicitly, etc.
- CUDA C/C++ kernels are now compiled to standard ELF format
- Support for device emulation mode has been packaged in a separate version of the CUDA C Runtime (CUDART), and is deprecated
in this release. 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.
- On Windows, use the new Parallel Nsight development environment for Visual Studio, with integrated GPU debugging and
profiling tools (was code-named "Nexus"). Please see www.nvidia.com/nsight for details.
- On Linux, use cuda-gdb and cuda-memcheck, and check out the solutions from Allinea and TotalView that will be available
soon.
- Support for all the OpenCL features in the latest R195 production driver package:
- Double Precision
- Graphics Interoperability with OpenCL, Direc3D9, Direct3D10, and Direct3D11 for high performance visualization
- o Query for Compute Capability, so you can target optimizations for GPU architectures (cl_nv_device_attribute_query)
- Ability to control compiler optimization settings via support for pragma unroll in OpenCL kernels and an extension that
allows programmers to set compiler flags. (cl_nv_compiler_options)
- OpenCL Images support, for better/faster image filtering
- 32-bit global and local atomics for fast, convenient data manipulation
- Byte Addressable Stores, for faster video/image processing and compression algorithms
- Support for the latest OpenCL spec revision 1.0.48 and latest official Khronos OpenCL headers as of 2010-02-17
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