CUDA 4.0 RC

3.2도 못해봤는데 4.0이라니 언제따라가?!?!?! ㅠ.ㅠ

Release Highlights Easier Application Porting Share GPUs across multiple threads Use all GPUs in the system concurrently from a single host thread No-copy pinning of system memory, a faster alternative to cudaMallocHost() C++ new/delete and support for virtual functions Support for inline PTX assembly Thrust library of templated performance primitives such as sort, reduce, etc. NVIDIA Performance Primitives (NPP) library for image/video processing Layered Textures for working with same size/format textures at larger sizes and higher performance Faster Multi-GPU Programming Unified Virtual Addressing GPUDirect v2.0 support for Peer-to-Peer Communication New & Improved Developer Tools Automated Performance Analysis in Visual Profiler C++ debugging in cuda-gdb GPU binary disassembler for Fermi architecture (cuobjdump) Please refer to the Release Notes and Getting Started Guides for more information. [링크 : http://developer.nvidia.com/object/cuda_4_0_RC_downloads.html]