Be the first to get your hands on the official CUDA 7 Release Candidate now available for download.
NVIDIA will host a CUDA 7 Overview webinar tomorrow, January 14th, at 10 am PT to help you learn about all the new CUDA 7 features and enhancements. These include:
C++11 support makes it easier for C++ developers to accelerate their applications
Write less code with ‘auto’ and ‘lambda’, especially when using the Thrust template library.
New cuSOLVER library of dense and sparse direct solvers delivers significant acceleration for Computer Vision, CFD, Computational Chemistry, and Linear Optimization applications.
Key LAPACK dense solvers 3-6x faster than MKL.
Dense solvers include Cholesky, LU, SVD and QR
Sparse direct solvers 2-14x faster than CPU-only equivalents.
Sparse solvers include direct solvers and eigensolvers
Runtime Compilation enables highly optimized kernels to be generated at runtime.
Improve performance by removing conditional logic and only evaluating special cases when necessary.
For more technical details on CUDA 7 read our ParallelForAll Blog
New to CUDA, learn CUDA programming with qwikLabs CUDA hands-on online training labs.
After you give it a try, please post feedback to our Developer Forums
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