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NVIDIA Developer v285.86 Driver
처런 
조회 :
1238 ,
2011/12/09 20:54 |
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첨부 파일이 없습니다
보드나라 자료실은 전용 고속회선으로 최대 100Mbps의 초고속 다운로드를 제공합니다
IE9 사용자는 다운로드가 응답하지 않을경우 도구-옵션-삭제 클릭하여 캐시 삭제후 클릭하세요
XP XP 64bit Vista/7 Vista/7 64bit
2011년 12월 6일 업데이트된 NVIDIA Developer v285.86 드라이버 입니다.
CUDA Toolkit 4.1(RC2)이 릴리즈 된 버전입니다.
Geforce/ION/Quadro/Tesla Desktop을 지원합니다.
LINUX
LINUX 32
LINUX 64
MAC OS X
MAC OS X
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
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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