CUDA 7 Release Candidate Now Available

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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  • About Marc Hamilton

    Marc Hamilton – Vice President, Solutions Architecture and Engineering, NVIDIA. At NVIDIA, the Visual Computing Company, Marc leads the worldwide Solutions Architecture and Engineering team, responsible for working with NVIDIA’s customers and partners to deliver the world’s best end to end solutions for professional visualization and design, high performance computing, and big data analytics. Prior to NVIDIA, Marc worked in the Hyperscale Business Unit within HP’s Enterprise Group where he led the HPC team for the Americas region. Marc spent 16 years at Sun Microsystems in HPC and other sales and marketing executive management roles. Marc also worked at TRW developing HPC applications for the US aerospace and defense industry. He has published a number of technical articles and is the author of the book, “Software Development, Building Reliable Systems”. Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.
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