![]() 32-bit global and local atomics for fast, convenient data manipulation.OpenCL Images support, for better/faster image filtering.Ability to control compiler optimization settings via support for pragma unroll in OpenCL kernels and an extension that allows programmers to set compiler flags.Query for Compute Capability, so you can target optimizations for GPU architectures (cl_nv_device_attribute_query).Graphics Interoperability with OpenCL, Direc3D9, Direct3D10, and Direct3D11 for high performance visualization.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. ![]()
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