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@mkstoyanov mkstoyanov released this Apr 7, 2021

  • added DPC++ backend using oneMKL
  • stabilized the HIP backend
  • added the MPI addon methods to Fortran 2003
  • some performance enhancements and bug fixes
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  • v7.3
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  • v7.3
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@mkstoyanov mkstoyanov released this Sep 30, 2020

  • added HIP/ROCm backend to the linear algebra methods
    • including HIP kernels, ROCm linear algebra, and MAGMA-HIP
  • CMake now builds only shared or static libraries
  • numerous performance enhancements and bug fixes
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@mkstoyanov mkstoyanov released this May 18, 2020

  • expanded the usage of advanced accelerated linear algebra from the LAPACK, cuSovlver and MAGMA libraries
  • added a method for constructing a grid from a set of unstructured data
  • the CUDA and MAGAM acceleration modes can be enabled through the Python PIP installer
  • added swig generated Fortran 2003 interface using Fortran classes
  • numerous performance enhancements and bug fixes
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  • v7.0.1
  • fcb07a8
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  • v7.0.1
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@mkstoyanov mkstoyanov released this Oct 14, 2019

  • added a python pip-installer for Tasmanain 7.0
  • fixed several build-system bugs, most notably concerning GNU Make and MPI
  • Note: there is no point in updating an existing working installation of version 7.0
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  • v7.0
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@mkstoyanov mkstoyanov released this Sep 30, 2019

  • included Addon module with templates for automated parallel surrogate construction (MPI and Threads)
  • updated the C++ API to fully utilize C++2011 features, containers, lambdas, etc.
  • reworked the DREAM API, now includes both C++ and Python modules
  • all acceleration modes now work with all grid types
  • all grid types include refinement procedures (previously Fourier refinement was missing)
  • numerous performance enhancements and bug-fixes
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  • v6.0
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@mkstoyanov mkstoyanov released this Oct 3, 2018

  • Tasmanian can use UTK MAGMA as back-end for GPU Accelerated Linear Algebra
  • New type of grid: Fourier grids use trigonometric basis and preserve periodicity
  • Added CUDA kernels for Sequence and Fourier grids
  • In addition to arrays, the external API accepts std::vector<type> with basic error checking
  • Numerous bug-fixes and performance enhancements, see the changelog for details
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  • v5.1
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  • v5.1
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@mkstoyanov mkstoyanov released this Apr 13, 2018

Tasmanian version 5.1

  • added custom CUDA kernels for evaluations for LocalPolynomial grids
  • CUDA accelerated evaluations can be used from MATLAB
  • added binary file format for read/write
  • added Fortran 90/95 interface (very experimental)
  • numerous bug fixes and performance enhancements
Assets 2