Rendering 3D Graphics on a 32×32 RGB LED Matrix Display with a Raspberry Pi and GeeXLab
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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-gdbFor 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