3D-Tech News Around The Web / CUDA Toolkit 3.0 Beta available to GPU Computing registered developers« on: November 06, 2009, 10:17:17 AM »
The CUDA Toolkit 3.0 Beta is now available to GPU Computing registered developers.
Highlights for this release include:
* CUDA Driver / Runtime Buffer Interoperability, which allows applications using the CUDA Driver API to also use libraries implemented using the CUDA C Runtime.
* A new, separate version of the CUDA C Runtime (CUDART) for debugging in emulation-mode.
* C++ Class Inheritance and Template Inheritance support for increased programmer productivity
* A new unified interoperability API for Direct3D and OpenGL, with support for:
o OpenGL texture interop
o Direct3D 11 interop support
* cuda-gdb hardware debugging support for applications that use the CUDA Driver API
* 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 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 all the OpenCL features in the latest R195.39 beta driver:
o Double Precision
o OpenGL Interoperability, for interactive high performance visualization
o Query for Compute Capability, so you can target optimizations for GPU architectures (cl_nv_device_attribute_query)
o Ability to control compiler optimization settings, etc. via support for NVIDIA Compiler Flags (cl_nv_compiler_options)
o OpenCL Images support, for better/faster image filtering
o 32-bit Atomics for fast, convenient data manipulation
o Byte Addressable Stores, for faster video/image processing and compression algorithms
o Support for the latest OpenCL spec revision 48 and latest official Khronos OpenCL headers as of 11/1/2009
* Early support for the Fermi architecture, including:
o Native 64-bit GPU support
o Multiple Copy Engine support
o ECC reporting
o Concurrent Kernel Execution
o Fermi HW debugging support in cuda-gdb
For more information on general purpose computing features of the Fermi architecture, see: www.nvidia.com/fermi.
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: www.nvidia.com/nexus