CUDA Toolkit
The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. You’ll also find programming guides, user manuals, API reference, and other documentation to help you get started quickly accelerating your application with GPUs.
- Read the CUDA 8 Features Revealed Parallel Forall Blog Post.
- Sign up for a live walkthrough: What's New in CUDA 8 webinar on Thursday, October 13th.
- Review the CUDA 8 Overview slides presented at GPU Technology Conference (GTC) 2016
If you find any issues please file a bug (requires membership of the NVIDIA Developer Program).
New in CUDA 8
Pascal Architecture Support- Enhance performance out-of-the-box on Pascal GPUs
- Simplify programming using Unified Memory including support for large datasets, concurrent data access and atomics
- Optimize Unified Memory performance using new data migration APIs
- Increase throughput at ultra-fast speeds using NVLINK, new high-speed interconnect
- Identify latent system-level bottlenecks using critical path analysis
- Improve productivity up to 2x with NVCC
- Tune OpenACC applications and overall host code using new profiling extensions
Learn more about the GPU-accelerated libraries and development tools included in the CUDA Toolkit
GPU-Accelerated Libraries
- Fast Fourier Transforms (cuFFT)
- Basic Linear Algebra Subroutines (cuBLAS)
- Sparse Matrix Routines (cuSPARSE)
- Dense and Sparse Direct Solvers (cuSOLVER)
- Random Number Generation (cuRAND)
- Image & Video Processing Primitives (NPP)
- NVIDIA Graph Analytics Library (nvGRAPH)
- Templated Parallel Algorithms & Data Structures (Thrust)
- CUDA Math Library
Development Tools
Reference Materials
If you develop applications in languages other than C or C++, please review the Getting Started Page for a language solution that meets your needs. The CUDA Toolkit complements and fully supports programming with OpenACC directives.
Review the latest CUDA performance report to learn how much you could accelerate your code.
Availability
The latest version of the CUDA Toolkit is always available at www.nvidia.com/getcuda
CUDA Registered Developers get early access to the next CUDA Toolkit release, and access to NVIDIA’s online bug reporting and feature request system.