Use cudadriver_3.0.1-beta1_macos.pkg driver with Quadro FX 4800 and GeForce GTX 285 on MacOS X 10.5.6 and later (pre-SnowLeoard). Use the cudadriver_3.0.0-beta1_macos.pkg driver with all NVIDIA GPUs except Quadro FX 4800 and GeForce GTX 285 on MacOS X 10.5.6 and later (pre-SnowLeoard) Windows developers should be sure to sign up for the Nexus (codename) beta program, and test drive the integrated support for GPU hardware debugging, profiling, and platform trace/analysis features at: Please review the errata document for important notes about using this beta release. Fermi HW debugging support in cuda-gdbįor more information on general purpose computing features of the Fermi architecture, see: Technical Documentation, Specs, Customer Stories | NVIDIA Tesla. Early support for the Fermi architecture, including: Support for the latest OpenCL spec revision 48 and latest official Khronos OpenCL headers as of Byte Addressable Stores, for faster video/image processing and compression algorithms 32-bit Atomics for fast, convenient data manipulation OpenCL Images support, for better/faster image filtering via support for NVIDIA Compiler Flags (cl_nv_compiler_options) Ability to control compiler optimization settings, etc. Query for Compute Capability, so you can target optimizations for GPU architectures (cl_nv_device_attribute_query) OpenGL Interoperability, for interactive high performance visualization Support for all the OpenCL features in the latest R195.39 beta driver: 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 debugging mode within cuda-gdb and also as a stand-alone utility. cuda-gdb hardware debugging support for applications that use the CUDA Driver API A new unified interoperability API for Direct3D and OpenGL, with support for: C++ Class Inheritance and Template Inheritance support for increased programmer productivity A new, separate version of the CUDA C Runtime (CUDART) for debugging in emulation-mode. CUDA Driver / Runtime Buffer Interoperability, which allows applications using the CUDA Driver API to also use libraries implemented using the CUDA C Runtime. The CUDA Toolkit 3.0 Beta is now available.
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