CUDA Toolkit : - C/C++ compiler - Visual Profiler - GPU-accelerated BLAS library - GPU-accelerated FFT library - GPU-accelerated Sparse Matrix library - GPU-accelerated RNG library - Additional tools and documentation Release Highlights Try The New Compiler! - New LLVM-based compiler delivers up to 10% faster performance for many applications New & Improved “Drop-In” Acceleration With GPU-Accelerated Libraries - Over 1000 new image processing functions in the NPP library - New cuSPARSE tri-diagonal solver up to 10x faster than MKL on a 6 core CPU - New support in cuRAND for MRG32k3a and Mersenne Twister (MTGP11213) RNG algorithms - Bessel functions now supported in the CUDA standard Math library - Up to 2x faster sparse matrix vector multiply using ELL hybrid format - Learn more about all the great GPU-Accelerated Libraries Enhanced & Redesigned Developer Tools - Redesigned Visual Profiler with automated performance analysis and expert guidance - CUDA_GDB support for multi-context debugging and assert() in device code - CUDA-MEMCHECK now detects out of bounds access for memory allocated in device code - Parallel Nsight 2.1 CUDA warp watch visualizes variables and expressions across an entire CUDA warp - Parallel Nsight 2.1 CUDA profiler now analyzes kernel memory activities, execution stalls and instruction throughput - Learn more about debugging and performance analysis tools for GPU developers on our CUDA Tools and Ecosystem Summary Page Advanced Programming Features - Access to 3D surfaces and cube maps from device code - Enhanced no-copy pinning of system memory, cudaHostRegister() alignment and size restrictions removed - Peer-to-peer communication between processes - Support for resetting a GPU without rebooting the system in nvidia-smi New & Improved SDK Code Samples - SimpleP2P sample now supports peer-to-peer communication with any Fermi GPU - New grabcutNPP sample demonstrates interactive foreground extraction using iterated graph cuts - New samples showing how to implement the Horn-Schunck Method for optical flow, perform volume filtering, and read cube map texture
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