Nvidia CUDA Toolkit 5.5.28
The CUDA 5 Installers include the CUDA Toolkit, SDK code samples, and developer drivers.
- 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
- 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 now available for Windows developers with new debugging and profiling features.
- Desktop 32-bit is for Windows PCs with Vista/7/8 32-bit ([XP 32-bit] here(http://developer.download.nvidia.com/compute/cuda/55/rel/installers/cuda5.5.20winxpgeneral_32.exe))
- Desktop 64-bit is for Windows PCs with Vista/7/8 64-bit ([XP 64-bit] here(http://developer.download.nvidia.com/compute/cuda/55/rel/installers/cuda5.5.20winxpgeneral_64.exe))
- Notebook 32-bit is for Windows Notebooks/Laptops with Vista/7/8 32-bit
- Notebook 64-bit is for Windows Notebooks/Laptops with Vista/7/8 64-bit
- Mac OS X is for personal computers, desktop and laptops, with the Apple platform.
- Nsight Eclipse Edition for Linux and Mac OS is an all-in-one development environment that allows developing, debugging, and optimizing CUDA code in an integrated UI environment.
- A new command-line profiler, nvprof, provides summary information about where applications spend the most time, so that optimization efforts can be properly focused.
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