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ViennaCL to run in Windows online over Linux online downlo

Free download ViennaCL to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named ViennaCL to run in Windows online over Linux online whose latest release can be downloaded as ViennaCL-1.7.1.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named ViennaCL to run in Windows online over Linux online with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

ViennaCL to run in Windows online over Linux online


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DESCRIPTION

ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects.

Features

  • Three computing backends: CUDA, OpenCL, OpenMP
  • Iterative Solvers: Conjugate Gradient, Stabilized BiConjugate Gradient, Generalized Minimum Residual
  • Preconditioners: ICHOL, ILUT, ILU0, Block-ILU, AMG, (F)SPAI, Jacobi
  • BLAS Level 1, Level 2 and Level 3 routines on GPUs and multi-core CPUs
  • Fast sparse matrix-vector and sparse matrix-matrix products
  • Convenient C++ wrappers for common linear algebra operations
  • Fast Fourier transform
  • C++ Interface is mostly uBLAS compatible
  • Interfaces for uBLAS, Armadillo, Eigen and MTL 4
  • Iterative Solvers can directly be used with uBLAS, Armadillo, Eigen and MTL4 objects
  • Structured matrices: Circulant, Hankel, Toeplitz, Vandermonde
  • OpenCL Kernel optimization environment for optimal performance on the target device
  • Header-only library
  • MATLAB interface for the iterative solvers (separate download)
  • Python interface (PyViennaCL)


Audience

Science/Research, Engineering



Programming Language

C++



This is an application that can also be fetched from https://sourceforge.net/projects/viennacl/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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