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After gaining more experience with ASL I'm convinced that it is the best accelerated open source LBM-solver as of end of 2015. It has following important advantages:

  1. simple C++ API (and only C++ - no need to know OpenCL or Python even for adding new numerical methods (which will automatically become hardware accelerated)!)
  2. remarkable performance
  3. multiphysics: many other physical/chemical phenomena beside LBMbesides CFD (Lattice Boltzmann method is used in ASL)
  4. hardware accelerated, can be deployed on CPU/GPU/FPGA/DSP/APU-clusters
  5. mesh-free, immersed boundary technology allows to move from CAD directly to simulation (important for automated design optimization).
  6. dynamic compilation approach enables an additional layer of optimization at run-time (i.e. for a specific parameters set the application was provided with)
  7. open source: AGPL + optional commercial license for closed-source projects.

After gaining more experience with ASL I'm convinced that it is the best accelerated open source LBM-solver as of end of 2015. It has following important advantages:

  1. simple C++ API (and only C++ - no need to know OpenCL or Python)
  2. multiphysics: many other physical/chemical phenomena beside LBM
  3. hardware accelerated, can be deployed on CPU/GPU/FPGA/DSP/APU
  4. mesh-free, immersed boundary technology allows to move from CAD directly to simulation (important for automated design optimization).

After gaining more experience with ASL I'm convinced that it is the best accelerated open source LBM-solver as of end of 2015. It has following important advantages:

  1. simple C++ API (and only C++ - no need to know OpenCL or Python even for adding new numerical methods (which will automatically become hardware accelerated)!)
  2. remarkable performance
  3. multiphysics: many other physical/chemical phenomena besides CFD (Lattice Boltzmann method is used in ASL)
  4. hardware accelerated, can be deployed on CPU/GPU/FPGA/DSP/APU-clusters
  5. mesh-free, immersed boundary technology allows to move from CAD directly to simulation (important for automated design optimization).
  6. dynamic compilation approach enables an additional layer of optimization at run-time (i.e. for a specific parameters set the application was provided with)
  7. open source: AGPL + optional commercial license for closed-source projects.
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After gaining more experience with ASL I'm convinced that it is the best accelerated open source LBM-solver as of end of 2015. It has following important advantages:

  1. simple C++ API (and only C++ - no need to know OpenCL or Python)
  2. multiphysics: many other physical/chemical phenomena beside LBM
  3. hardware accelerated, can be deployed on CPU/GPU/FPGA/DSP/APU
  4. mesh-free, immersed boundary technology allows to move from CAD directly to simulation (important for automaticautomated design optimization).

After gaining more experience with ASL I'm convinced that it is the best accelerated open source LBM-solver as of end of 2015. It has following important advantages:

  1. simple C++ API (and only C++ - no need to know OpenCL or Python)
  2. multiphysics: many other physical/chemical phenomena beside LBM
  3. hardware accelerated, can be deployed on CPU/GPU/FPGA/DSP/APU
  4. mesh-free, immersed boundary technology allows to move from CAD directly to simulation (important for automatic design optimization).

After gaining more experience with ASL I'm convinced that it is the best accelerated open source LBM-solver as of end of 2015. It has following important advantages:

  1. simple C++ API (and only C++ - no need to know OpenCL or Python)
  2. multiphysics: many other physical/chemical phenomena beside LBM
  3. hardware accelerated, can be deployed on CPU/GPU/FPGA/DSP/APU
  4. mesh-free, immersed boundary technology allows to move from CAD directly to simulation (important for automated design optimization).
Source Link

After gaining more experience with ASL I'm convinced that it is the best accelerated open source LBM-solver as of end of 2015. It has following important advantages:

  1. simple C++ API (and only C++ - no need to know OpenCL or Python)
  2. multiphysics: many other physical/chemical phenomena beside LBM
  3. hardware accelerated, can be deployed on CPU/GPU/FPGA/DSP/APU
  4. mesh-free, immersed boundary technology allows to move from CAD directly to simulation (important for automatic design optimization).