Hello,
I have come up with a solution, although there may be other ones using
iterative solvers. I changed the solver to SparseDirectMUMPS (from tutorial
62). It seems to have stopped generating the error. Note that my stiffness
matrix is not symmetric ( system_matrix.is_symmetric() is retur
- Most of your find package calls have to come after the project(...)
call. deal.II is a bit special - we call find_package(deal.II) before
project() so that the compiler is configured to be the same as the
one used for deal.II.
- Also you only need to call target_link_libraries() with
On 7/17/23 16:19, Lance Zhang wrote:
terminate called after throwing an instance of
'dealii::ParameterHandler::ExcNoSubsection'
what():
An error occurred in line <1848> of file <./source/base/parameter_handler.cc>
in function
vo
Hello Wolfgang,
The error shows below:
[ 66%] Built target cook_membrane
[100%] Run cook_membrane with Release configuration
///
// Test the GCMMA algorithm
///
terminate called after throwing an insta
On 7/17/23 15:57, Lance Zhang wrote:
The information above is what I wrote,but the errors come out .
Lance -- nobody can help you if you don't say what exactly the error is.
Carefully reading the error message often is 50% of the process of figuring
out what the problem is.
Best
W.
--
--
Hello,
I would like to change the value ofset Shear modulus to 1e6 using a
parameter in function. so I can control the value of modulus and this
parameter will be used and changed in each iteration of loop.
There are two ideas
1st)I want to change the value of modulus and the new value wi
Hello everyone,
I have one problem when I tried to add openmp lib to CMakeLists.txt to use
parallel functionality.
May I know how I could add openmp lib?
And one more question,I wrote two code files which are called gcmma and
mma,may I know how could I add these two files in this CMakeLists as
Giuseppe,
We totally rewrote the GPU matrix-free framework on the latest release of
deal.II (version 9.5). One of the advantages is that you can now
write/debug the code on the CPU and then switch to run the code on the GPU.
The new code is not 100% backward compatible but the changes are pretty
s
Dear Bruno,
thank you very much. That was the issue with the matrix-based version.
I take the opportunity for another question (sorry in advance to bother). I
also tried to implement a matrix-free version of the same problem,
exploiting therefore all the routines such as 'assemble_rhs' and deleg
Giuseppe,
The CUDA::Handle needs to live longer than the sparse matrix but in your
code it goes out-of-scope at the end of assemble_system(). I know the same
code works with assemble_matrix but it only works "by chance" because
nothing wrote over the memory. I don't know if that's the only proble
Here, you can find the two codes. 'SBR_GPU' is the one that arrives up to
the end, whereas 'SBR_GPU_WRONG' is the one that stops with the error
described above once I call 'output_results'. If the code is too long and
can be helpful, I could try to reduce it avoiding ParameterHandler and
other
Giuseppe,
It's hard to tell what's wrong without seeing the code.
Best,
Bruno
On Monday, July 17, 2023 at 9:04:42 AM UTC-4 gius...@gmail.com wrote:
> Hello everyone,
> I'm writing this post to ask some help for a CUDA code. I have implemented
> a matrix-based CUDA coda for the so-called solid
Hello everyone,
I'm writing this post to ask some help for a CUDA code. I have implemented
a matrix-based CUDA coda for the so-called solid body rotation, namely a
time dependent advection problem. In my first implementation, I encapulased
the computation of the matrix and of the right-hand side
Vinayak,
The error is pretty explicit, the function is not implemented in SymEngine.
Maybe it is fixed in a newer version of SymEngine. If it is not, you will
need to change the formulation of your equation.
Best,
Bruno
On Monday, July 17, 2023 at 3:51:24 AM UTC-4 vinay...@gmail.com wrote:
>
Hello,
I am trying to differentiate and then evaluate a function with abs(). As a
simple example, consider the function to be f(x) = abs(x). I use the
following code to first define the symbolic function and then try to
evaluate its derivative:
double x = -2;
Differentiation::SD::Expression
YES. Would take me a while but I ll do it.
Be prepared for many questions.
On Monday, July 17, 2023 at 2:44:01 AM UTC+2 Wolfgang Bangerth wrote:
> On 7/16/23 07:22, Abbas Ballout wrote:
> > I get this error when I call the
> exact_solution_vector_function.gradient(p1):
> > !ERROR Message:
> >
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