Features:
- 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
Features:
- 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 for Linux and MacOS
- GPU binary disassembler for Fermi architecture (cuobjdump)
- [Parallel Nsight 2.0](https://developer.nvidia.com/nvidia-parallel-nsight) now available for Windows developers with new debugging and profiling features..
Install Instructions:
Windows
- Double click cuda_9.0.176_win10_network.exe
- Follow on-screen prompts
macOS
- Open cuda_9.0.176_mac_network.dmg
- Launch the installer
- Follow the on-screen prompts
Fedora
- 'sudo rpm -i cuda-repo-fedora25-9-0-local-9.0.176-1.x86_64.rpm'
- 'sudo dnf clean all'
- 'sudo dnf install cuda'
OpenSUSE
- 'sudo rpm -i cuda-repo-opensuse422-9-0-local-9.0.176-1.x86_64.rpm'
- 'sudo zypper refresh'
- 'sudo zypper install cuda'
Ubuntu 17.04
- 'sudo dpkg -i cuda-repo-ubuntu1704-9-0-local_9.0.176-1_amd64.deb'
- 'sudo apt-key add /var/cuda-repo-
/7fa2af80.pub' - 'sudo apt-get update'
- 'sudo apt-get install cuda'
Ubuntu 16.04
- 'sudo dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64.deb'
- 'sudo apt-key add /var/cuda-repo-
/7fa2af80.pub' - 'sudo apt-get update'
- 'sudo apt-get install cuda'